Senior Software Engineer · Applied AI · Go I use AI to turn ideas into production systems, and I build AI into them when it actually makes the product better.
AI is part of how I work every day, from design to shipping. Inside the product, I use it only when it earns its place. When it does, I handle the hard part: getting models into real products at scale, with the latency, observability, and failure handling that high-stakes systems need. That discipline comes from years of building payment and risk infrastructure where every bug cost real money. Now I'm applying it to AI products with real-world impact, starting with climate.
- LLMs in production: Claude / OpenAI / Groq integrations, prompt and eval design, structured outputs
- AI + backend depth: serving AI features inside event-driven systems (Kafka, gRPC) - Building
- Reliability at scale: services handling millions of requests/day with % uptime and % infra cost reduction
AI: Claude / OpenAI / Groq APIs · Embeddings / vector search · LLM evals Languages: Go · Python · Node.js · SQL Architecture: Event-driven · Microservices · gRPC · REST Infra: Kubernetes · Docker · GCP / AWS · Kafka · Redis · PostgreSQL
Portuguese (native) · English (professional) · Spanish (conversational)