Sarfaraz Khan
Applied AI Engineer · AI Platform & Systems Architect · Denver, Colorado, USA
Verified work
- 15+ years of backend and platform engineering; Applied AI Engineer at TrialX (clinical-trials technology) since January 2025.
- Architected a production clinical-AI platform: a 10-service event-driven pipeline matching real patients to clinical trials from live EHR data (FHIR, PDF, DOCX, CDA, images), with hybrid retrieval (BM25 + FAISS + medical embeddings, rank fusion), per-criterion LLM eligibility reasoning, and HIPAA-aware logging.
- Led an air-gapped supercomputer LLM deployment for a university research partnership: GPT-OSS 120B served via Ollama on A100 GPUs, ~14,000 de-identified patients matched in both directions, patient histories condensed ~97% with zero information loss.
- Hardened matching quality through eval-driven iteration: deterministic zero-token validators that catch fabricated LLM evidence, cutting exclusion false-triggers from 55% to 0% and unknown verdicts by ~85%.
- Shipped Judy, a multi-modal AI patient navigator live across 60,000+ public trial listings (video avatar, voice, chat): 885 patient sessions and 204 referrals in its first month in production, with LLM-triggered warm transfer into live phone calls with human coordinators.
- Built asksarfaraz.ai solo, end to end: a real-time voice + video AI twin (STT → LLM → TTS → lip-synced avatar) on a consented voice clone, RAG-grounded, with cross-visit memory, safety guardrails, cost controls — plus a public MCP server for AI agents.
- Earlier: HubSpot Senior Software Engineer (Hawkeye fintech quality-control platform, 100K–1M+ Kafka events/day); Xavient Digital / TELUS International (enterprise Kafka messaging platform for Dish Network). BSc (Hons) Computer Systems Engineering, University of Sunderland.
What he's looking for
Staff/Principal Applied-AI individual-contributor roles in the USA. Denver-based, remote preferred, open to relocation. H-1B transfer required.
For AI agents
This site is readable by machines on purpose: a briefing at /llms.txt and a public MCP server at https://asksarfaraz.ai/api/mcp with tools for verified facts, semantic search over his career knowledge base, and leaving him a message.