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Production AI & data systems that pay for themselves.
LLM + geolocation pipeline that found end-of-life IoT devices in the field, identified the holding business, and made hardware recovery routine. Self-hosted Llama, zero token spend.
Computer-vision + BLE surgical inventory system replacing clipboards and spreadsheets in NHS operating theatres. iOS, FastAPI, YOLOv8.
DBSCAN clustering + SageMaker model flagging battery decline before customer-visible failure. Shifted support from reactive to proactive.
Led full analytical migration off MongoDB onto Redshift, with Glue pipelines and a reporting layer the ops team could query without engineering involvement.
Production voice-AI bridge: telephony to LLM agents. Call-state management, webhook integration, FastAPI backend. Open source under MIT.
Cointegration-based mean-reversion backtester for crypto futures. Realistic fees, slippage, and funding costs. Strategy parameters intentionally stripped from the public repo.
Two paid weeks. One clear "build this next".
Best for: teams that suspect there's value in their operational data but can't tell where to start. I work hands-on with your data, not from a deck. Most audits convert into a build.
Fixed-price, fixed-scope, in production.
Best for: teams that already know what they want shipped and need it done properly the first time. Weekly written check-in. You own everything on payment.
CTO-level engagement, retained monthly.
Best for: founders past PoC who need CTO-level decisions without a full-time hire. One strategic session per week plus async availability. Three-month minimum.
Production-style pipeline: connect → profile → PII scan → KPI detection → branded HTML/PDF report. FastAPI, pandas, WeasyPrint, Docker, CI.
Two short walkthroughs: a data-platform UI design sample, and an internal dashboarding and reporting tool.
Profile and additional repositories. Call-assistant backend and stat-arb backtester are already live; more landing here next.