I build AI products that collapse complex systems into something simple enough to ship — from factory floors to regulatory compliance to enterprise ops.
Every complex system has a few load-bearing parts and a lot of noise. My job — whether the system is a garment, a parking operation serving 15,000 people, or an EU compliance regime — is to find the parts that matter and build the smallest thing that solves them. I learned that as a mechanical engineer, sharpened it through an M.S. in Information Systems, and now I ship it as AI products.
U.S. exporters hit by the EU's CBAM regime had to translate messy supplier PDFs into audit-ready emissions data — by hand.
LangGraph orchestration over a RAG layer turns unstructured documents into structured, traceable emissions records with a human in the loop.
From problem discovery to a live MVP that real exporters can use — owned across product, architecture, and deployment.
An end-to-end ML pipeline predicting semiconductor stock movement. Benchmarked ARIMA vs XGBoost vs LSTM on Sharpe ratio with expanding-window CV and SHAP interpretability.
Performance outerwear designed like an engineering problem — requirements, trade-offs, validation applied to garments. Concept validated across US / EU / India markets.
A no-login time-zone scheduler — drag-select across 40+ cities, AI meeting suggestions via the Claude API, one-click calendar export. Full mobile touch support.
Each role added a layer — hardware intuition, commercial instinct, operational scale, then AI execution. Click any node to expand. ◆ = load-bearing.
A high-signal cohort of operators, founders and policymakers, built around intensive masterclasses and live, real-world case studies.
I'm looking for AI Product / Builder roles at teams shipping something ambitious. If that's you, the fastest path is email.