Staff Software Engineer focused on platform and distributed systems operating at scale, under real-world performance, reliability and regulatory constraints.
14+ years of experience across system architecture, data-intensive platforms, real-time systems and mobile ecosystems. Currently contributing to and leading technical decisions at stealth AI startups.
My work centers on production-grade systems where architecture, performance and reliability are first-order concerns.
Typical problem spaces include:
- distributed and event-driven architectures
- real-time and data-heavy workloads
- platforms designed for long-term evolution and operational stability
I am particularly interested in environments where technical decisions directly impact business outcomes, compliance and operational risk.
Production Data Platform & Public API
IPTU API is a production SaaS that provides unified access to official property tax (IPTU) and real-estate data across major Brazilian cities.
While the core platform is private, its public SDKs and interfaces reflect the architectural principles used for external consumption: consistency, performance, reliability and developer experience.
This product represents work on:
- platform and API architecture
- large-scale data ingestion and normalization
- caching, performance and cost trade-offs
- operational reliability in regulated environments
- long-term maintainability for external consumers
Platform & Distributed Systems
Event-driven architectures, real-time platforms, data-intensive systems
AI & Real-Time Systems
Computer vision pipelines, streaming data, edge and backend inference
Mobile Platforms
Native iOS/Android and cross-platform system design
TypeScript Python Swift Kotlin
Node.js NestJS FastAPI
PostgreSQL Redis Docker TensorFlow
This GitHub contains a curated selection of projects, SDKs and experiments focused on architecture, performance, reliability and technical trade-offs in real-world production systems.