At Spurvance Labs, I developed two FastAPI endpoints for the RYUK AI Reasoning Service, integrating rule-based reasoning with local LLM inference using Ollama, Qwen, and Gemma. I validated the backend with Pytest and documented the APIs with OpenAPI.
At MZ Cooling Towers, I lead AI-assisted technology initiatives across quotation workflows, billing, customer handling, and business analytics. I also direct technical planning and digital systems supporting operational decision-making.
On CareGap AI, I designed a modular FastAPI backend for healthcare care-gap workflows, with PostgreSQL persistence, JWT authentication, and role-based access control. I validated backend behavior with an automated Pytest suite.

