At Microsoft, I develop production AI-enabled applications that connect LLM services with user-facing and enterprise workflows. I design harness patterns for prompts, context, tool execution, response validation, and evaluations so model interactions remain observable and testable.
At Anubis Advisory and Engineering, I engineer AI workflows using TypeScript, Node.js, Python, RAG, MCP, and tool calling. I build evaluation and debugging workflows for agent behavior, and trace prompts, context, retrieval, tool calls, application state, and downstream services when something fails.
At Cerebral, I led development of healthcare applications for patient onboarding, scheduling, provider workflows, billing, and communications. I designed privacy-conscious data flows around sensitive patient information, with HIPAA-aware practices for authorization, encryption, and controlled access.
At Daintree Solutions LLC, Zibtek, and NAL Insurance Inc., I developed SaaS, client-facing, and insurance applications across frontend, backend, APIs, and data systems. I’ve strengthened testing, CI/CD, monitoring, and production troubleshooting, with privacy and reliability in mind.
