jeremygracey.ai · LinkedIn · Hugging Face · jeremy.a.gracey@gmail.com · gracey.ai@outlook.com
AI/ML engineer and technical founder in Seattle. I build agent systems that hold up under audit: pipelines that log their decisions, memory with governance and replay, RAG that cites the exact page behind every claim.
Before software I worked emergency medicine, acute psychiatric care, and special education. Nobody in those rooms accepts "trust me" as an answer, and I never learned to accept it from software either. Everything below is built to that standard.
Five threads, each with public code behind it.
Agent infrastructure. The plumbing that makes autonomous agents accountable. Compass BlackBox IQ is a flight recorder for agents: git-backed memory, decision records, and a skill forge, exposed over MCP. llm-council-mcp runs multi-model deliberation as an MCP server for Claude Code — ships on PyPI as mcp-llm-council.
Agent governance. governance-drift-researcher detects drift in an AI-agent estate: every finding carries verifiable evidence, findings that can't be re-verified are dropped, and nothing publishes without human sign-off. Run it live on WeaveMind Cloud for about $0.03, or pip install governance-drift. guss is the same philosophy on 7 watts — a Jetson-hosted agent that monitors itself, heals itself, paper-trades against a benchmark, and publishes its own dashboard.
Compilers and GPU performance. triton-kernel-lab is hand-written Triton kernels with honest benchmarks on a Jetson Orin Nano, plus a working study of LLVM, MLIR, and TorchDynamo/Inductor.
Neurotech and edge hardware. nexus-neuromirror is offline-first EEG neurofeedback for the Mind Media NeXus-10, from EDF verification to a live dashboard. pip install nexus-neuromirror.
Clinical AI on open standards. clinical-ai-agent is citation-traceable decision support on SMART on FHIR: a five-agent pipeline with dual citations back to patient data and clinical sources. Hospital-Readmission-Prediction-Model covers the classical ML side, synthetic EHR data through SHAP-based clinical interpretation.
Off GitHub: PREVERA GUARDIAN+AI, fall-risk detection built on V-JEPA and LIDAR on Jetson hardware (USPTO provisional filed 2026), and customer-facing agents for real businesses — booking, triage, and operations — deployed and in use.
The pins are the front door. These hold up past the first click too.
- provenance — RAG over textbook page images that verifies every claim against the exact page that proves it. Cohere Embed v4 retrieval, Claude vision answers.
- calibrated-readiness — multi-agent exam-readiness scoring with a 60-second reliability-diagram check. Microsoft Foundry Agent Framework + Foundry IQ.
- rag-healthcare-ai — fully local medical Q&A over the Merck Manual: Mistral-7B on llama.cpp, ChromaDB, no API in the loop.
- healthcare-vjepa2-agent — V-JEPA 2 and Claude reading medical procedure videos and generating teaching material: step breakdowns, narration, quizzes, safety notes.
Classical ML lives in helmnet — VGG-16 transfer learning with thresholds tuned for zero-harm deployment — and renewind-predictive-maintenance, seven Keras architectures against imbalanced turbine sensor data.
Consulting through the Claude Partner Network. Digging into what neuropsychology's models of memory can teach agent memory design. Open to applied-AI and systems roles in Seattle or SF.