I design and ship production-grade AI systems that integrate LLMs into real-world business workflows.
With 30+ years in software engineering and systems architecture, I specialize in building reliable, scalable backend platforms where AI augments — but does not replace — deterministic system logic.
- Retrieval-Augmented Generation (RAG) pipelines
- Agentic AI systems with controlled tool execution
- Structured LLM outputs with schema validation
- Multi-tenant SaaS architectures
- Deterministic data + AI orchestration layers
- Vector search and semantic retrieval
- API-heavy backend systems (Node.js / TypeScript / Python)
- SharpAI – LLM-powered content intelligence system with vector retrieval (40K+ embedded documents)
- IntentLens – AI-driven recommendation engine integrating product intelligence and structured output validation
- Resume Intelligence Engine – Structured resume parsing and skills gap analysis pipeline using LLM function calling
(Additional case studies available upon request.)
Before focusing on AI systems, I spent over two decades building scalable web platforms, SaaS systems, and enterprise architecture solutions — including regulated healthcare and financial environments.
Former Microsoft MVP
Speaker & technical author
I build AI systems that behave predictably, scale cleanly, and integrate safely into real-world workflows.