I build practical AI products and data systems. With a background in optimization and machine learning engineering, I convert real business problems into reliable, measurable solutions—favoring simple designs, strong evaluation, and clean handoffs.

Current Work

I help teams adopt Generative AI responsibly—from strategy to production:

• Evaluate use cases and prioritize by ROI and feasibility
• Design retrieval, orchestration, and evaluation pipelines
• Ship maintainable services with MLOps, monitoring, and guardrails

Specializations in AI

• LLM applications: RAG, agents, tool use, evaluations
• Optimization and decision science
• ML systems and MLOps (observability, CI/CD, data pipelines)
• Data strategy, governance, and cost management

Selected Projects

• Built a retrieval-augmented QA service that reduced support load
• Automated document understanding and enrichment for knowledge bases

Principles

• Start simple; measure everything
• Production first: reliability, cost, and latency matter
• Privacy and safety by default
• Clear docs and ownership

What Motivates Me

This site is my lab notebook: a place to capture what I learn, clarify thinking, and share practical patterns with the community.

Let’s Connect

Have a project in mind or want to compare notes? Reach out on LinkedIn/GitHub (see footer), or open an issue via the repository.