// DOCUMENT OF RECORD

Marcelino Sandroni DiasComplete resume

Senior Software Engineer

15 years of corporate financial governance (2005–2020) plus 6 years of software engineering (2021–2026): 21 years of combined expertise. Senior Software Engineer and Tech Lead working end to end across backend, frontend, mobile and DevOps. I translate complex corporate financial rules into scalable web architectures and high-volume distributed systems — with measured results of R$ 24 million/year, 100 million messages/day and 10x throughput gains. I work as a technical reference point: architecture, multidisciplinary team leadership, mentoring and AI-assisted automation to ship faster with clean, sustainable code.

Live Resume · v0.25.1 · Updated 2026.08

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Focused on Java and React

// 01

Track Record: Production Systems Experience

A trajectory across technology, operations and business.

Jan/2026 – Present // Remote

DGT Tecnologia

Senior Software Engineer & Tech Lead

Team: 10

Technical leadership in the restructuring and modernization of critical legacy systems for AI-powered public security monitoring, processing 100 million messages daily. Strategic role as the bridge between business and technology, with the autonomy to define architecture, processes and the technology stack, saving contracts worth R$ 2M/month by delivering 100% accuracy across facial recognition and crime prevention systems.

Scope: Critical public security systems with AI, processing 100M messages/day, R$ 24M+/year government contracts, cross-cutting technical leadership defining architecture, processes and stack for multiple projects

Rescued a R$ 24M/year (R$ 2M/month) contract in Florianópolis, lifting license-plate recognition accuracy from <60% to 100% and removing the cancellation risk.
Multiplied throughput 10x on 100M messages/day by migrating MySQL to ClickHouse with Databricks ETL and Go and .NET microservices.
Led 10 people (Dev, QA, BA, PO, PM) and cut development time 40% through a design system and shared libraries.

Core technologies

.NET CoreGoNode.jsTypeScriptAngularReactMicro-frontendsClickHouseMySQLPostgreSQLRedisDatabricksETLRabbitMQKafkaCircuit BreakerEvent-Driven ArchitectureDockerKubernetesHelmTerraformJenkinsBitbucket PipelinesSonarQubeFortifyPlaywrightOpenTelemetryGrafanaPrometheusLLMs (Claude, GPT)AI Code ReviewDesign SystemDDDTDDCQRS

Case study

Predictive Public Safety System: AI-Assisted Crime Prevention

Problem: Public security departments needed to anticipate criminal occurrences in order to optimize the allocation of agents, but operated reactively, with no integration between cameras, drones, databases and monitoring systems, resulting in late incident response and inefficient crime prevention.
Solution: I architected and led the development of a predictive public safety platform with: (1) Real-time integration of CCTV feeds, drones and IoT sensors; (2) Statistical and machine learning models for predictive analysis based on historical patterns, seasonality and risk indicators; (3) Dynamic heat maps predicting crime hotspots by region and period; (4) Intelligent alerting system for operations commands with route and patrol positioning suggestions; (5) Executive dashboards with real-time crime KPIs for strategic decision making; (6) Integration APIs with systems from other departments and security forces.
Result: System operational in multiple cities with capacity to process 100M daily events, 35% reduction in crime rates in monitored areas, 40% optimization of agent displacement, and national recognition as a reference in intelligent public security. Proprietary technology that became a competitive differentiator for the company.

Daily Events Processed100 million
Crime Reduction35%
Resource optimization40%
Response TimeReduced by 60%

Rescuing a R$ 24 Million Contract: From 0% to 100% Accuracy

Problem: A R$ 2M/month (R$ 24M/year) contract with the city hall of Florianópolis was at imminent risk of cancellation due to low accuracy (<60%) in AI-based vehicle plate recognition on traffic cameras. The client faced operational losses, loss of political confidence and contractual penalties. The legacy system suffered from processing bottlenecks, untreated critical bugs and the absence of automated tests.
Solution: I took on emergency technical leadership across two fronts simultaneously: (1) Immediate remediation: mapping all critical bugs within 48 hours, prioritization by business impact, distribution of tasks to a team of 10 developers with pair programming at the most complex points, daily hotfixes deployed to production; (2) Architectural restructuring: database migration from MySQL to ClickHouse for analytical queries, implementation of an ETL pipeline with Databricks for data processing, refactoring the monolith into horizontally scalable microservices in Go for image processing, introduction of TDD and DDD to guarantee quality, and automation of E2E testing with Playwright replacing manual QA validation.
Result: In 6 weeks I raised accuracy from <60% to 100%, eliminating the cancellation risk and securing contract renewal. R$ 24M annual savings for the company, restoration of client confidence, and establishment of a new quality standard that was replicated across other contracts. The client became a success case and a reference for new sales.

Contract Value SavedR$ 24,000,000/year
Accuracy Delivered<60% → 100%
Time to Resolution6 weeks
Critical Bugs Resolved47 in 48h

Performance Revolution: 10x Faster with Microservices

Problem: Monolithic legacy systems in .NET suffered from extreme slowness in dashboard queries, timeouts processing camera video, and an inability to scale horizontally during demand peaks. A MySQL database bottleneck stalled critical operations, resulting in daily customer complaints, breached SLAs and churn risk.
Solution: I carried out a complete architectural modernization: (1) Database: migration from MySQL to ClickHouse specialized for massive analytical queries, reducing query time from 30s to <200ms; (2) ETL and data pipeline: implementation of ETL pipelines with Databricks for pre-processing and data aggregation, freeing the transactional database; (3) Microservices: decomposition of the monolith into 12 specialized microservices in Go (video/image processing) and .NET Core (business rules), enabling independent horizontal scalability; (4) Messaging: event-driven architecture with RabbitMQ (Topic Exchanges), Circuit Breaker, Dead Letter Queues and retry policies for resilience; (5) Strategic caching: Redis for hot data with intelligent invalidation, reducing load by 70%.
Result: Performance multiplied by 10x in the processing of 100M daily messages, 99% reduction in dashboard query time (30s → 200ms), elimination of timeouts, 100% SLA compliance, and capacity to scale to 500M messages without degradation. The architecture became an internal reference and was adopted as the standard for new projects.

Performance Multiplier10x
Messages Processed/Day100 million
Query Time30s → 200ms
Database Load Reduction70%

DevOps Transformation: From Zero to Enterprise Continuous Delivery

Problem: The company operated with manual deployments, no CI/CD pipeline, inconsistent environments, traumatic rollbacks, no observability and a fear of deploying to production. Release processes took days, bugs were only discovered in production, and there was no change traceability, resulting in frequent downtime and customer dissatisfaction.
Solution: I built a complete DevOps ecosystem from scratch: (1) CI/CD: automated pipelines in Jenkins with build, unit test, integration test, Playwright E2E test, static analysis (SonarQube), security scanning (Fortify), Docker container build, registry push and automated deployment stages; (2) Orchestration: Kubernetes with standardized Helm charts, Horizontal Pod Autoscaler (HPA) based on CPU/memory, and Pod Disruption Budgets for zero downtime; (3) Infrastructure as Code: Terraform for provisioning the entire infrastructure (VPC, subnets, security groups, RDS, ElastiCache, EKS), guaranteeing reproducibility and versioning; (4) Observability: full stack with Prometheus, Grafana, Jaeger and OpenTelemetry for metrics, logs and distributed traces; (5) GitFlow: implementation of a branch flow with mandatory PRs, code review with checklist, and JIRA integration for traceability.
Result: 95% reduction in deployment time (from 4 hours to 15 minutes), 20x increase in release frequency (from 1/week to 4/day), 80% reduction in production incidents, automatic rollback in <2 minutes, and the establishment of a culture of trust where developers can deploy safely. Estimated savings of 320 hours/year in manual deployment time.

Deployment Time Reduction4h → 15min (95%)
Release Frequency1/week → 4/day (20x)
Incident Reduction80%
Rollback Time<2 minutes

Reuse Culture: Design System and Corporate Libraries

Problem: Every project reinvented the wheel: duplicated UI components, business logic repeated across multiple repositories, visual inconsistencies between products, effort wasted on existing solutions, and maintenance difficulty. There was no technical standard, documentation was nonexistent, and onboarding new developers took months.
Solution: I led the standardization and reuse initiative: (1) Design System: creation of an Angular UI component library with Storybook, documenting every component with examples, props and usage guidelines; (2) Backend libraries: private NPM packages for shared utilities in TypeScript, NuGet libraries for .NET with common middlewares, Maven packages for Java with standard integrations, and Go modules for messaging and logging; (3) centralized documentation: implementation of a documentation portal with Docusaurus containing the architecture of all projects, data flows, technical decisions (ADRs), operational runbooks and onboarding guides; (4) Governance: establishment of a review committee for new libraries, preventing fragmentation.
Result: 40% reduction in development time for new features thanks to reuse, visual consistency in 100% of products, faster onboarding of new developers (from 3 months to 3 weeks), and the creation of proprietary intellectual property that became a differentiator in commercial proposals. The component library is used in 15+ projects simultaneously.

Development Time Reduction40%
Projects Impacted15+
Onboarding Acceleration3 months → 3 weeks
Components Created50+

Dec/2022 – Dec/2025 // Remote

Antlia

Tech Lead & Strategic Consultant

Team: 8

Technical leadership in the modernization of critical legacy systems for BNPP Paribas, the bank's largest client, recreating the payments ecosystem and integrating with consolidated systems. Involved from planning through delivery, focusing on scalable distributed systems with Java Spring, an Angular microfrontend, Kafka messaging and complete DevOps (Kubernetes, Jenkins, Helm). Delivery of new applications for asset management with investment funds in the primary/wholesale market, integrating B3, US/European ETFs and large banks/brokers.

Scope: modernization of critical BNPP Paribas systems, payments ecosystem and asset management with B3/global integration, complete technical leadership defining architecture, DevOps processes and quality standards

Grew assets under management 45% in 1 year, with settlement moving from D+1 batch to real time and uptime from 95% to 100%.
Created opportunities on the order of R$ 50 million and automated manual processes, saving R$ 500 thousand per year.
Led 8 developers (3 principal) modernizing COBOL, VB and C# onto Java Spring and Angular, with hexagonal architecture, Kafka and 95%+ test coverage.

Core technologies

Java SpringAngularMicro-frontendsKafkaMicroservicesHexagonal ArchitectureDDDTDDClean ArchitectureSOLIDJenkinsKubernetesDockerHelmCI/CDObservabilityReal-Time MonitoringB3 IntegrationETFsFinancial MarketsReal-Time PaymentsAsset ManagementCompliance Automation

Case study

BNPP Paribas Digital Transformation: From Cobol Legacy to Real Time

Problem: BNPP Paribas faced critical legacy systems in Cobol, manual integrations in VB and C# monoliths that limited growth, with payment processes taking up to 1 day, no real-time information for asset managers, and an inability to scale to wholesale market demand with B3 integration and international ETFs.
Solution: I architected and led the complete modernization: (1) Migration of legacy systems to Java Spring and Angular with hexagonal architecture and scalable microservices; (2) Implementation of Kafka messaging for event orientation and asynchronous processing; (3) Creation of CI/CD pipelines from scratch with Jenkins, Kubernetes, Docker and Helm for continuous delivery; (4) Development of Angular microfrontends for reuse across the ecosystem; (5) Complete automation of ETF fund and financial product orchestration; (6) Real-time integration with B3, US/European exchanges, and the systems of large banks and brokers.
Result: Operational system with real-time payment processing (previously 1 day), 45% increase in assets under management in 1 year, R$ 500 thousand saved through automation, opportunities created on a scale of R$ 50 million, 100% uptime (previously 95%), delivery reduced from months to days/D0, and contract renewal/expansion due to exceptional quality.

Assets Under Management Growth45% in 1 year
Savings from AutomationR$ 500,000
Opportunities CreatedR$ 50 million
Payment Time1 day → Real Time
Guaranteed Uptime95% → 100%
Delivery TimeMonths → Days/D0

Real-Time Payments Revolution in the Financial Market

Problem: The bank's payment systems operated in batch with processing of up to 1 day, preventing agile decisions by managers, causing dissatisfaction among wholesale clients, and limiting competitiveness against fintechs with real-time solutions. Manual reconciliation and compliance processes consumed valuable resources.
Solution: I developed a new payments system with: (1) Event-driven architecture with Kafka for asynchronous and scalable processing; (2) Java Spring microservices specialized in validation, processing, reconciliation and compliance; (3) Native integration with B3, correspondent banks and settlement systems; (4) Real-time Angular dashboards for transaction monitoring; (5) Complete automation of approval workflows and regulatory compliance; (6) Circuit breaker and retry policies for resilience during demand peaks.
Result: Payments processed in real time, eliminating the 1-day delay, instant communication with wholesale clients, total automation of manual compliance and reconciliation processes, and the establishment of a new competitive standard that enabled the acquisition of new institutional clients.

Processing Speed24h → <1s
Automated Processes100%
Active IntegrationsB3 + 50+ banks
Daily TransactionsMillions

Asset Management Ecosystem with Global Integration

Problem: The bank's asset management operated with disconnected systems, no unified real-time view of positions, dependence on manual processes to reconcile data from B3, international exchanges (US/Europe) and multiple counterparties, resulting in errors, delays and an inability to offer sophisticated products to high-net-worth clients.
Solution: I created an integrated asset management ecosystem with: (1) centralized Angular platform with microfrontends for different asset classes; (2) Java Spring backend with microservices specialized by asset type (fixed income, equities, ETFs, derivatives); (3) Real-time integrations with B3, Bloomberg, Reuters and international custodians; (4) Statistical models for valuation and automatic mark-to-market; (5) Automated workflows for fund subscription, redemption and rebalancing; (6) standardized APIs for integration with third-party systems (banks, brokers, asset managers).
Result: Unified real-time view of all assets under management, elimination of manual reconciliation processes, ability to launch new financial products in weeks (previously months), and attraction of institutional investors who demand technological sophistication.

Assets Under Management+45% YoY
Product Launch TimeMonths → Weeks
Global IntegrationsB3 + NYSE + LSE + Eurex
Valuation Precision100% Automatic

DevOps from Zero: Continuous Delivery Culture at the Bank

Problem: The bank operated with manual deployments, inconsistent environments, fear of production and release cycles of months. The absence of automated pipelines, insufficient tests and uncoded infrastructure resulted in frequent incidents and slow response to business demands.
Solution: I implemented a complete DevOps ecosystem: (1) CI/CD pipelines in Jenkins with build, unit/functional/E2E test stages (95%+ coverage), SonarQube analysis, Docker build and automated deployment to Kubernetes; (2) standardized Helm charts for all microservices; (3) GitFlow with mandatory PRs and rigorous code review; (4) Observability with real-time metrics, logs and traces; (5) Proactive alerts for anomalies; (6) Ephemeral environments for testing.
Result: Release cycles reduced from months to days (or D0), 95% increase in deployment frequency, drastic reduction in production incidents, and the establishment of a culture of trust where teams can continuously deliver value safely.

Release CycleMonths → Days/D0
Test Coverage95%+
Orchestrated Microservices20+
Deployments per DayMultiple

Technical Excellence: Hexagonal Architecture and TDD as the Standard

Problem: The team followed heterogeneous practices, with poorly testable code, excessive coupling, difficulty evolving, and knowledge concentrated in few individuals. The absence of architectural standards and resistance to automated tests limited delivery speed and quality.
Solution: I introduced and led the adoption of: (1) Hexagonal architecture to isolate business rules and enable testability; (2) TDD as a mandatory practice with 95%+ unit/functional/E2E coverage; (3) DDD for ubiquitous modelling with the business; (4) SOLID principles and Clean Code in all services; (5) Systematic code review with quality checklists; (6) Mentoring of junior and mid-level developers through pair programming; (7) Collaborative technical/functional/business refinement with clear DoR/DoD definition.
Result: Highly testable and sustainable code, reduction in production bugs, faster onboarding of new developers, dissemination of technical knowledge, and the establishment of an excellence culture that became a competitive differentiator for the team.

Test Coverage95%+
Production Bug ReductionSignificant
Mentored Developers8 (Junior/Mid)
Services with standardized Architecture100%

Mar/2022 – Nov/2022 // Hybrid

Banco Itaú

Full Software Engineer & Tech Lead

Team: 9

Technical leadership in the development of applications for internal management of wholesale market assets, controlling more than R$ 100 billion in assets of large investors and clients. Control and investment ecosystem with intelligence and insights, B3 integration, national and international assets. Worked with a team of 9 people (6 developers, Tech Lead, PO, PM) on technical process improvements, code review, versioning, and mentoring of junior and mid-level developers in front end, back end and mobile.

Scope: Applications for internal management of assets over R$ 100 billion, multidisciplinary team technical leadership, implementation of a testing culture and architectural standardization, mentoring of junior and mid-level developers

Designed the asset-management platform operating +R$ 100 billion under custody, with B3 integration and a unified real-time view.
Rescued a critical launch hit by infrastructure failure, fixing the messaging microservices in under 24h.
Implemented automated testing across 3 layers (.NET, Angular, Flutter), raising code quality 8x with 80%+ coverage on a 9-person team.

Core technologies

.NET CoreJava Spring BootAngularFlutterAWSEC2S3LambdaRDSSQSSNSCloudWatchVPCIAMKMSSecrets ManagerAPI GatewayHexagonal ArchitectureDDDTDDSOLIDClean CodeCypressUnit TestingCI/CD PipelinesDesign SystemMicroservicesMessagingObservability

Case study

R$ 100 Billion Asset Management: Smart Ecosystem for the Wholesale Market

Problem: Itaú needed robust applications for internal managers and high-net-worth clients to manage wholesale market assets, with precise control of more than R$ 100 billion, real-time B3 integration, a unified view of positions, smart insights for investment decisions, and capacity to scale to the demands of large institutional investors.
Solution: I developed a complete asset management ecosystem with: (1) Internal Angular platform for managers to track positions, performance and risks in real time; (2) .NET and Java Spring backend with microservices specialized by asset class (fixed income, equities, derivatives, ETFs); (3) Native integration with B3, Bloomberg, Reuters and custody systems; (4) Analytical models for valuation, mark-to-market and performance projections; (5) Executive dashboards with net worth, allocation and profitability KPIs; (6) Secure APIs for integration with institutional client systems; (7) Flutter mobile app for on-the-go monitoring.
Result: Operational ecosystem managing more than R$ 100 billion in assets, unified real-time view for managers and clients, capacity to offer sophisticated products to the wholesale market, and the establishment of a new standard of technological excellence that became an internal reference.

Assets Under Management+R$ 100 billion
Active IntegrationsB3 + Custodians
Update TimeReal Time
Users ServedManagers + Clients

Critical Launch Rescue: From Production Bugs to Success

Problem: The first phase of the project faced critical infrastructure errors and bugs in messaging microservices hours before launch. The system was not processing events correctly, integrations with other services were failing, logs were insufficient for rapid diagnosis, and the risk of postponing the launch threatened the credibility of the area and the relationship with wholesale clients.
Solution: I led an emergency war effort: (1) Emergency meeting with the whole team for collaborative debugging; (2) Implementation of enhanced observability with structured logs, metrics and traces to identify bottlenecks; (3) Mapping of all critical bugs in record time; (4) Strategic distribution of tasks according to each developer's expertise; (5) Simultaneous correction of event processing failures in messaging and broken integrations; (6) Accelerated validation with tests focused on the critical points; (7) Monitored deployment with rollback ready if necessary.
Result: Launch successfully completed within the deadline, all critical bugs resolved, system stable in production, credibility preserved with stakeholders, and the establishment of observability practices that prevented future problems.

Critical Bugs ResolvedAll in <24h
Time to Diagnosis<4 hours
LaunchOn Schedule
Post-Launch Stability100%

Quality Revolution: 8x More Automated Tests

Problem: The team relied excessively on manual tests, with low automated coverage, frequent production bugs, refactoring difficulty and fear of deploying. QA was overloaded with repetitive validations, developers lacked confidence in changes, and long test cycles delayed deliveries.
Solution: I implemented a comprehensive automated testing program: (1) Unit tests in back end (.NET and Java) with 80%+ coverage using xUnit and JUnit; (2) Integration tests with embedded databases and mocks of external services; (3) E2E tests with Cypress for critical front-end flows (Angular); (4) Mobile tests with Flutter Test; (5) CI/CD pipeline running all tests automatically on every commit; (6) Coverage reports visible to the whole team; (7) TDD culture encouraged in dailies and code reviews.
Result: Code quality increased 8x, drastic reduction in production bugs, confidence to refactor and evolve the system, QA freed for exploratory testing and strategic assurance, and accelerated release cycles with automatic validation.

Quality Increase8x
Test Coverage80%+
Production Bug ReductionSignificant
Automated E2E TestsCritical Flows

Architectural standardization: Hexagonal Architecture as the New Standard

Problem: Microservices were developed without a consistent standard, with excessive coupling between business rules and frameworks, testability difficulty, duplicated code and concentrated knowledge. Each developer followed their own approach, resulting in heterogeneous and hard-to-maintain systems.
Solution: I introduced and led the adoption of Hexagonal Architecture (Ports & Adapters) as the corporate standard: (1) Training workshops on benefits and implementation; (2) Refactoring of critical services to isolate the domain at the center; (3) Clear definition of ports (interfaces) and adapters (infrastructure, API, messaging); (4) Rigorous application of SOLID and Clean Code; (5) TDD as a mandatory practice to guarantee testability; (6) DDD for ubiquitous modelling with the business; (7) Code reviews focused on architectural compliance.
Result: Highly testable and sustainable services, isolation of business rules allowing technology swaps without impact, faster onboarding of new developers with a clear standard, and the establishment of a technical excellence culture replicated in other projects.

standardized Services100%
TestabilityHigh (80%+ coverage)
Trained Developers9
Coupling ReductionSignificant

Mentorship and Team Development: Raising the Technical Level

Problem: Team with a mix of levels (junior, mid, senior), uneven knowledge, inconsistent practices and excessive dependence on a few senior individuals. Juniors and mid-level developers needed guidance to grow technically and contribute with more autonomy.
Solution: I implemented a structured mentorship program: (1) Regular pair programming between seniors and juniors/mid-levels; (2) Educational code reviews with constructive feedback; (3) Knowledge sharing sessions (internal tech talks); (4) Clear definition of expectations per level; (5) Individual tracking of technical growth; (6) Progressive delegation of responsibilities; (7) Encouragement of certifications and studies.
Result: Juniors and mid-level developers grew technically with greater autonomy, reduced dependence on seniors, knowledge dissemination across the team, increased delivery speed, and the establishment of a culture of continuous learning.

Mentored Developers6 (Junior/Mid)
Mentorship SessionsRegular
Promotions AchievedMultiple
Team AutonomyHigh

Jun/2021 – Jan/2022 // Remote

Pollux Technologies

Full Software Engineer (Promoted in 3 months)

Team: 5

Work across multiple clients focused on system modernization, cloud migration and resolution of critical problems. Promoted from Junior to Mid-level in just 3 months due to technical excellence and impact on delivery. Experience in healthcare (electronic medical records and appointment forecasting), finance (AWS migration) and sports (critical delivery in 2 weeks). 30-50% reduction in infrastructure costs, performance improvements of up to 200%, and on-time delivery on 80% of projects (20% delivered early).

Scope: Work across multiple clients (healthcare, finance, sports) covering system modernization, cloud migration, AWS cost optimization, resolution of critical problems, and project delivery under tight deadlines with technical excellence

Led an AWS public-cloud migration delivered in 3 months against a 6-month plan, with 2x performance and 30% cost reduction.
Cut a client's monthly AWS spend 50% through invoice auditing, autoscaling and moving workloads to spot instances.
Fixed messaging failures and data-integrity defects in healthcare, taking record accuracy to 100% and appointment predictability from 0% to 40%.

Core technologies

JavaTypeScriptNestJSReactNext.jsVue.js.NETGoPythonAWSGCPAzurePostgreSQLMongoDBKubernetesDockerCI/CDJenkinsServerlessLambdaAPI GatewayDynamoDBEventBridgeCircuit BreakerMicroservicesEvent-Driven ArchitectureMessagingCloud MigrationCost optimization

Case study

Intelligent Healthcare System: From 0% to 40% Appointment Forecastability

Problem: A healthcare client faced a critical problem: the system was not correctly delivering medical record and patient history data from health plans, making it impossible to forecast appointments, exams and procedures. The project was failing with 0% forecast accuracy, messaging and event processing errors, AWS serverless infrastructure gaps, and Java/TypeScript microservices with asynchronous communication failures.
Solution: I worked intensively with the team to: (1) Investigate and map all messaging and event orientation errors and problems; (2) Fix the AWS serverless infrastructure (Lambda, API Gateway, DynamoDB, EventBridge) eliminating processing gaps; (3) Refactor Java and TypeScript microservices to operate correctly in asynchronous, event-driven mode; (4) Implement Circuit Breaker for resilience in inter-service calls; (5) Correct error cases with retry policies and Dead Letter Queues; (6) Validate 100% accuracy on patient data and history; (7) Develop predictive models for intelligent appointment, exam and procedure suggestions focused on patient health.
Result: Operational system with 100% accuracy on medical record and patient history data, 40% forecastability on appointment/exam/procedure indications (previously 0%), significant improvement in preventive patient health, and establishment of a technological foundation for evolution with AI and machine learning.

Data Accuracy100%
Appointment Forecastability0% → 40%
Processing ErrorsEliminated
System ResilienceCircuit Breaker

Financial Cloud Migration: 6 Months in 3 with 30% Lower Cost

Problem: A large financial sector client operated on internal cloud with performance limitations, scalability constraints and high costs. It needed migration to public AWS with a complete restructuring of the system design to gain performance, data flow and cost reduction. The projected 6-month timeline was incompatible with business demands accelerated by digital transformation.
Solution: I planned and executed the complete migration to AWS: (1) Restructuring of the architectural design of the system and services for cloud-native operation; (2) Migration of workloads to EC2, Lambda, RDS, S3, SQS, SNS with cost optimization; (3) Implementation of CI/CD pipelines to automate deployments; (4) Configuration of VPC, subnets, security groups and IAM for security; (5) Monitoring with CloudWatch and proactive alerts; (6) optimization of queries and indexes for performance; (7) Training of the client's team in cloud operations.
Result: Migration completed in 3 months (half the 6-month deadline), 2x increase in process and service performance, 30% reduction in cloud infrastructure costs, and establishment of a solid foundation for future innovation and scalability.

Migration Time6 months → 3 months
Performance Increase2x
Cost Reduction30%
AWS Services MigratedEC2, Lambda, RDS, S3, SQS, SNS

Critical Delivery in 2 Weeks: Sports System Under Pressure

Problem: A sports system client faced an unpostponable 2-week deadline for a critical delivery that impacted its entire operation. Any delay would result in significant financial losses and loss of credibility in the market. The team, under extreme pressure, needed technical leadership to guarantee quality, accuracy and punctuality.
Solution: I led a focused delivery effort: (1) Rapid mapping of critical features for the MVP; (2) Strategic distribution of tasks according to each developer's expertise; (3) Intensive pair programming at the most complex points; (4) Continuous validation with automated tests; (5) Daily deployments to the homologation environment; (6) Fast client feedback for adjustments; (7) Collaborative team work with constant communication.
Result: Delivery completed with quality, accuracy and within the 2-week deadline, a satisfied client with the result, and a demonstration of the ability to execute under extreme pressure without compromising quality.

Delivery Deadline2 weeks
Quality DeliveredHigh Accuracy
Client SatisfactionMaximum
Features Delivered100% of Scope

AWS Cost optimization: 50% Reduction in Cloud Spending

Problem: A client faced uncontrolled cost escalation on AWS with no clear visibility of where the waste was. Growing monthly invoices threatened the sustainability of the project, and a lack of cloud governance allowed excessive resource provisioning, idle instances and inefficient architectures.
Solution: I carried out a complete audit and optimization: (1) Detailed analysis of all invoices and resource usage; (2) Identification of oversized and idle instances; (3) Implementation of Auto Scaling Groups for automatic sizing; (4) Migration of appropriate workloads to Spot Instances; (5) Query optimization and reduction of unnecessary data transfers; (6) Configuration of budgets and cost alerts in AWS Budgets; (7) Establishment of tagging policies and cloud governance.
Result: 50% reduction in monthly AWS costs, stabilization of spending with budget predictability, elimination of waste, and implementation of a culture of continuous cloud cost optimization.

Cost Reduction50%
Budget PredictabilityHigh
Resources optimizedAll
Governance ImplementedComplete

Consistent Technical Excellence: 80% Early Deliveries

Problem: Multiple clients with varied demands needed fast, quality delivery, but the company's history showed frequent delays, budget overruns and client dissatisfaction. It was necessary to establish a new standard of technical excellence and execution discipline.
Solution: I implemented high-performance engineering practices: (1) Detailed planning with realistic estimates based on historical data; (2) Decomposition of stories into small, estimable tasks; (3) Clear definition of DoR (Definition of Ready) and DoD (Definition of Done); (4) Automated tests from the start (TDD where applicable); (5) Continuous integration with automatic validation; (6) Transparent communication with clients about progress and risks; (7) Retrospectives after each delivery for continuous learning.
Result: 80% of projects delivered ahead of schedule, 20% exactly on schedule (100% punctuality), 30% average reduction in infrastructure costs, performance improvements of up to 200% for clients, and establishment of a reputation for reliability and technical excellence.

Early Deliveries80%
Total Punctuality100%
Average Cost Reduction30%
Performance ImprovementUp to 200%

Jan/2005 – Dec/2020 // São Paulo

Accounting Consulting Firms

Accounting Analyst & Manager

Team: 20

Digital transformation and operational restructuring of companies through accounting process automation, strategic financial management and team leadership. Acted as the bridge between business and technology, implementing solutions that reduced operating costs by 83% and released working capital for strategic investments.

Scope: Multiple companies of different sizes and sectors, acting in accounting, tax, financial and people management consulting

Cut the accounting close from 30 days to 5 days (−83%), freeing 20+ people for higher-value work.
Saved up to R$ 1 million per year in taxes through advanced tax planning and strategic accounting reclassification.
Allocated R$ 2 million into high-yield investments (12–15% p.a.) and eliminated 95% of manual reconciliation errors.

Core technologies

Integrated Accounting SystemsIntegration APIsFinancial DashboardsAdvanced Spreadsheets (Macros/VBA)Automation ToolsCloud PlatformsERP Management Systems

Case study

Accounting Closing Automation: From 30 to 5 Days

Problem: Companies faced a 30-day accounting closing cycle, requiring intensive manual effort from 20+ employees, causing decision-making delays, late filing penalties and an inability to provide real-time financial reports to managers.
Solution: I developed and implemented an integrated accounting automation system with: (1) Direct API integration between client systems and the accounting platform, eliminating manual data entry; (2) Automated business rules for accounting classification based on history and patterns; (3) Real-time dashboards with critical financial indicators; (4) Automated approval workflows with intelligent notifications; (5) Dynamic financial spreadsheets with custom macros for specific client scenarios.
Result: 83% reduction in closing time (30 → 5 days), 20 employees freed for strategic activities, annual savings of R$ 200 thousand in operating costs, elimination of 95% of manual errors, and increased client satisfaction with real-time reporting.

Process Time Reduction30 days → 5 days
Annual Cost SavingsR$ 200,000
Employees Reallocated20+ people
Manual Error Reduction95%
Performance Multiplier5x

Strategic Tax Planning: R$ 1 Million Savings

Problem: Clients paid excessive taxes due to inadequate accounting classification, lack of knowledge about optimal tax regimes and the absence of strategic tax planning, resulting in competitive loss and reduced profit margins.
Solution: I implemented a deep accounting review methodology with: (1) Detailed analysis of all operations and strategic accounting reclassification; (2) Migration to more advantageous tax regimes (Actual Profit vs. Presumed); (3) Leverage of regional and sectoral tax benefits; (4) Structuring of operations for legal tax burden optimization; (5) Continuous monitoring of legislative changes with proactive strategy adjustments.
Result: Accumulated savings of up to R$ 1 million in taxes per client/year, 8-12% net margin increase, significant improvement in market competitiveness, and resources freed for reinvestment in growth and innovation.

Annual Tax SavingsUp to R$ 1,000,000
Net Margin Increase8-12%
Benefited ClientsMultiple

Investment Consulting: R$ 2 Million in Strategic Applications

Problem: Companies kept idle capital in non-interest-bearing checking accounts, did not know suitable investment options for their risk profile and had no cash management policy, resulting in lost growth opportunities and financial fragility.
Solution: I structured a strategic financial management process with: (1) Complete cash flow and available capital diagnosis; (2) Investment policy definition aligned to the risk profile and liquidity needs; (3) Diversification into optimized financial applications (CDB, LCI/LCA, funds, treasury direct); (4) Long-term financial projections with optimistic, pessimistic and realistic scenarios; (5) Monthly follow-up meetings and portfolio rebalancing.
Result: Strategic allocation of R$ 2 million in high-yield investments, generation of additional financial revenue of 12-15% per year, strengthened working capital, and created reserve for strategic expansions and acquisitions.

Capital Strategically InvestedR$ 2,000,000
Annual Yield Obtained12-15% p.a.
Companies with Professional ManagementMultiple

Digital Transformation and Remote Work

Problem: Teams stuck to manual processes, disconnected spreadsheets and fragmented communication, with low productivity, resistance to technological change and impossibility of remote work even for administrative functions.
Solution: I led complete digital transformation with: (1) Implementation of integrated cloud-based systems; (2) Creation of unified dashboards with real-time KPIs; (3) Automation of approval flows and notifications; (4) Intensive training in digital tools and new methodologies; (5) Establishment of a data-driven culture with metrics-based meetings; (6) Gradual implementation of remote work with collaboration tools.
Result: Complete operations modernization, successful remote work implementation for administrative functions, 40% increase in team productivity, improved organizational climate, and talent attraction through the flexibility offered.

Productivity Increase40%
Functions Converted to RemoteMultiple areas
Systems ImplementedIntegrated Cloud-based

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Tools to solve the complex.

A broad technical repertoire. The choice is always problem-driven.

Frontend & UI

ReactNext.js (RSC, SSR)AngularFlutterReact NativeMicro-frontends (Module Federation)ReduxZustandTailwind CSSDesign SystemStorybook

Backend Core

C# (.NET Core)Java (Spring Boot)Node.js (NestJS)TypeScriptPythonGoMicroservicesAPI GatewayBFFCQRSClean ArchDDDApache KafkaRabbitMQ (Topic Exchanges)Circuit BreakerPostgreSQLSQL ServerClickHouseRedisOAuth 2.0 (PKCE)OIDCJWT

DevOps & Cloud

AWSAzureGCPK8s (Helm, HPA)DockerIaC (Terraform)CI/CDJenkinsOpenTelemetryDatadogGrafanaTDDCypressPlaywrightK6CORSCSP

Artificial Intelligence

LLM Integration (OpenAI, Claude, Gemini)RAGpgvectorQdrantTensorRTLangChainAutonomous AgentsAI Code Review

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Education & Languages

Academic foundation and international communication.

2021–2025

Bachelor's in Computer Engineering

UNIVESP

In-depth focus on computer architecture, artificial intelligence and advanced data structures, consolidating the theoretical foundation for scalable software development.

2017

Bachelor's in Accounting

Estácio

Full command of corporate accounting, governance and financial analysis. The strategic foundation responsible for the expertise in building systems oriented to high return on investment.

2021

Master of Computer Applications (Full Stack)

Labenu

Intensive technical immersion in the modern web ecosystem, with rigorous application of Clean Code, automated testing and component architecture in real-world scenarios.

2021

CSx50 (Computer Science)

Harvard University

Robust grounding in the fundamentals of computer science, algorithms and discrete mathematics, reinforcing the algorithmic resolution of complex problems.

Languages

Bilingual Fluency

English · Professional · Portuguese · Native

Full professional proficiency in English and native Portuguese.