São José dos Campos, São Paulo, Brazil
A suburban country-style developer, passionate about technology, focused on AWS, and my Swiss Army knife is TypeScript + Python. As an AWS Community Builder & dev.to moderator, I’m dedicated to strengthening the community by sharing what I learn publicly, aiming to solve both common and complex problems through practical, straightforward content. Additionally, an enabling team person and a hardworking software developer driven to improve team effectiveness.
- Led architecture improvements across services running on ECS Fargate clusters - Identified and resolved critical memory leak issues across services - Improved memory efficiency of all cluster services, significantly stabilising production workloads - Designed mitigation strategies for oversized events using event filtering, batching, and controlled processing flows - Reduced provider support tickets by ~70% through system reliability and observability improvements - Strengthened event-driven patterns using SNS, SQS, and EventBridge - Improved error handling and backpressure strategies in asynchronous flows - Increased system resilience under peak load - Created and advocated for an AI Workgroup to establish org-wide standards, enabling non-engineers to contribute to code safely
Worked at Tetrascience as an MLOps Engineer, achieving seven milestones: Async Inference, model Install/Deploy, Sync Inference (stream-first), model validation, A/B testing, benchmarking, and training. Also, restructured the Developer Experience (DX) to facilitate client contributions to a private company's repository. Additionally, redesigned a crucial internal data collection tool for instruments like osmometer and chromatography devices
- Introduced and advocated for the Event Sourcing concept - Introduced and advocated for DDB Single Table Pattern - Created an AI Platform for both Online and Offline Inference (sync/async) using the BYOM concept - Created an Artifact installation (BYOM) platform, using DBX DABs for self-service ai workflows, tools and agents deployment - Created Model Validation, Model A/B testing and Model benchmarking - Perfomed Model Observability with mlflow - Created Model Training and a cli tool that mimic xet from hugging face for uploading Model Weights
- Architected EDA Solutions - Coordinated and architected resilient integrations with laboratory providers - Architected and implemented Agentic EDA - Built Cloud AI Solutions
- Acted as a Platform Engineer, providing all infrastructure resources, permissions and guardrails to improve the DX and Security - Implemented SES Observability and improved in 56% the UX communication with all the client - Provided innovative solutions as a Solution Architect to address significant challenges across the entire organization using AWS, introducing a fresh perspective - Reduced in 50% the time to run CI/CD pipelines and the costs by nearly 70% - Created a standard using Step Functions to process thousands of files in less than seconds - Created RFC workflow and with it granted the team more visibility and engagement - EDA Advocate
- Architected a cloud-native system that leverages serverless technologies for improved scalability and cost savings - Implemented a serverless architecture using AWS technologies that reduced operational costs by 30% - Created a load products application on top of EDA - Optimized cloud resources to ensure optimal performance and cost efficiency - Create a CDC application using Kinesis