Backend Architect & Staff Engineer

I design resilient distributed systems that scale businesses.

With over 7 years of enterprise experience, I specialize in high-throughput architectures, robust event-driven messaging, and strategic modernization of legacy systems for global industry leaders like AB InBev, Itaú, Porto Seguro, and Prudential.

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Production Evidence

System Design & Architecture Cases

Real-world distributed system challenges, designed, solved, and optimized at scale.

50k req/s Average Throughput & Stable latency

Global Pricing Engine at Scale

AB InBev - Pricing & Promotions API

The Architectural Pain

Needed to serve high-throughput pricing payloads across 30+ countries. Met critical latency spikes during massive transaction campaigns and faced complex Cosmos DB concurrency race conditions under peak traffic.

The Engineering Solution

Designed a multi-tier caching system with Java, Spring Boot, and Redis. Mitigated the Cosmos DB bottleneck during a critical war room by implementing dynamic RU/s scaling controls and eliminating redundant upstream service invocations.

JavaSpring BootRedis ClusterCosmos DBNew RelicAzure
50k Req/s Java API Spring + Redis Client HA Caching Layer Redis Cache Redis Cluster 10k -> 20k RUs Cosmos DB
Data Loss Reduced from 13% to ~4%

Rescuing Data Loss in Seller Analytics

AB InBev - Bees Grow (KPI Metrics)

The Architectural Pain

Legacy synchronous API calls were causing a critical 13% data loss rate on transaction updates and performance metric ingestion for sellers across 15+ countries.

The Engineering Solution

Re-engineered the synchronous ingestion flows into an asynchronous event-driven system using RabbitMQ. Developed a resilient scheduled consumer microservice to safely buffer and aggregate batch metrics before database commit.

JavaRabbitMQScheduled ConsumerPostgreSQLGrafanaCI/CD
Sync API Call 13% Data Loss KPI Events Publisher RabbitMQ Exchange Persistent Queue Java Consumer Loss: 13% -> 4%
Zero Latency Bottlenecks on Client Application

The Legacy API BFF Shield

Porto Seguro - Digital Financial Management

The Architectural Pain

High latency and payloads bloated with unused legacy database properties from monolithic 3rd-party banking APIs were degrading front-end rendering performance.

The Engineering Solution

Architected a high-performance Backend-For-Frontend (BFF) layer using NestJS. Implemented parallel API composition and optimized payload aggregation, transforming multiple slow downstream legacy requests into a single reactive client stream.

Node.jsNestJSTypeScriptBFF PatternReactAPIs Integration
Modern React App Aggregated NestJS BFF API Composition Parallel Fetch Legacy Auth (Slow) Legacy Financial Legacy Profile
Timeline Reduced from 9 to 7 Months (100% test cov)

AI-Powered Insurance Re-Engineering

Prudential - Insurance Acceptance Portal

The Architectural Pain

Mission-critical, undocumented business logic locked inside legacy SharePoint and aging Angular systems threatened a major platform modernization timeline.

The Engineering Solution

Leveraged advanced AI code-analysis to systematically reverse-engineer legacy rules. Co-architected a modern React architecture driven by Strategy and Factory patterns to dynamically resolve UI components based on runtime API payloads, enforcing 100% test coverage.

React.jsStrategy PatternFactory PatternAI Reverse-EngCI/CD Pipelines
Dynamic Config JSON Payload React Factory & Strategy Resolver 100% Test Coverage Insurance Strategy A Insurance Strategy B 9 mo -> 7 mo timeline reduction
Technical Arsenal

The Ecosystem I Master

My primary technologies, libraries, and architectural frameworks used daily to drive performance.

⚙️

Backend Core

Java & Spring Boot Node.js & NestJS TypeScript / ESNext Clean Architecture & DDD OOP Design Patterns
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Messaging & Data

RabbitMQ (Event-Driven) Redis (Distributed Caching) Cosmos DB / NoSQL PostgreSQL / SQL Server API BFF Composition
☁️

Cloud & Operations

AWS Cloud Infrastructure Microsoft Azure Services Docker Containerization CI/CD Automation Pipelines FinOps & Dynamic Scaling
📊

Observability

New Relic APM Suite Grafana Dashboards Prometheus Metrics Distributed Tracing Production War-Rooms
My Vision

Pragmatic Engineering Over Hype

I believe that high availability is a business-critical safety net, not just a technical metric. Over my 7+ years of engineering, I have learned that the best architecture is the one that directly supports business stability and growth, while keeping operation and infrastructure costs highly optimized.

Whether stepping into a production war room to resolve performance degradation, re-architecting legacy data sinks into robust event-driven message loops, or applying AI to streamline reverse-engineering legacy systems, I bring a sharp focus on reliability, performance, and clean code principles.

7+ Years of Exp
50k+ Req/s Handled
100% Test Coverage Standard