How I find value and build it.

Operators managed inventory and stock — a working-capital problem worth millions — with partial data and disconnected tools.

Discovery with operations and finance users, plus analysis of operational data, to find where value was really trapped.

A quantified, evidence-backed case for a new product — projected $6M+ run-rate.

Owned strategy, roadmap and MVP; prototyped and de-risked with users before committing engineering.

Ran pilots with real enterprise customers straight out of discovery to prove value before scaling.

Executive buy-in and investment; a focused product built around the highest-value opportunities.

Teams drowned in unstructured research; insight was buried, duplicated and hard to trust.

Explored how people search, trust and reuse evidence — and where generic AI answers fall down.

An always-on, grounded insight layer that cites its sources instead of hallucinating.

Designed and built the full stack solo — RAG, embeddings, vector search, FastAPI, AWS.

Iterated on output quality — judging accuracy and grounding to define "good enough".

A live, working product — proof I take AI from idea to deployed, not just to slideware.