AI Lab

Run my work yourself.

26 working demos of the systems I build for clients, organized by industry. Each one links back to the production case study it comes from.

No API key needed. Every demo plays recorded results instantly, and the in-browser demos run real models on your device. For live AI runs, plug in your own OpenAI or OpenRouter key: it stays in your browser for this session only, is never stored on any server (there is no server), and every request goes directly from your browser to the provider.

Retrieval & RAG

Flagship

The 2026 RAG stack, not naive top-k: hybrid retrieval (dense + keyword), reranking and grounded answers with citations. Retrieval quality, not the model, is what makes RAG trustworthy.

Security & Safety

Defense-in-depth for LLM apps, mapped to the OWASP LLM Top 10: prompt-injection defense, PII/PHI redaction and real-time crisis detection. From my safety-critical healthcare work.

Healthcare

Flagship

Mirrors my production work as sole ML engineer on a mental-health platform: clinical documentation, semantic search and real-time safety.

Documents & Language

Grounded answers, summarization, extraction and contract intelligence. Built on the systems behind my 92%-accuracy enterprise legal Q&A.

Finance & Insurance

Explainable, compliant automation for KYC, claims and reporting, with the evaluation discipline regulated buyers expect. Built on my enterprise document-processing and multi-agent reporting work.

Customer Experience

Support automation that deflects the routine and grounds every answer in your policy, plus QA scoring to keep quality high as volume scales.

Computer Vision

Detection and OCR running fully in your browser, no API key and no upload to any server. From my smart-surveillance research (30+ FPS on edge devices).

MLOps & Cost

The production economics behind the models: VRAM sizing, quantization and self-host-vs-API break-even. The 20% that gets attention, and the 80% that decides the bill.