Software engineer · backend systems · architecture · AI integration
I work across the full arc — from product needs and system design to building backend infrastructure that holds up under real usage.
That includes integrating AI/LLM capabilities into real products, designing clean abstractions, and writing code that's testable and maintainable.
Currently at Tida AI Group, architecting the backend for a multi-service AI assistant platform — real-time voice processing, MCP-based tool calling, and context management systems.
Backend · Python · FastAPI · Django · PostgreSQL · MongoDB · Redis
Infrastructure · Docker · Microservices · Nginx · GitHub Actions · AWS S3
AI/LLM · WebSockets streaming · RAG · Embeddings · MCP/FastMCP · LiteLLM
Practice · System design · SOLID · Testing (unit/integration/E2E) · API security (OAuth2/JWT)



