Résumé · Medical & Local-First AI Systems [ Download PDF ](/resume/andrew-grainger-medical-local-first-ai-systems.pdf) # Andrew Grainger, PhD Medical & Local-First Applied AI Systems Scientific evidence · persistent memory · evaluated workflows Rowley, MA [agrainger221@gmail.com](mailto:agrainger221@gmail.com) [(408) 438-3114](tel:+14084383114) [linkedin.com/in/andrew-grainger](https://linkedin.com/in/andrew-grainger) [https://voidwright.io/](https://voidwright.io/) Portfolio: [voidwright.io](https://voidwright.io/) · Open-source projects: [github.com/void-wright](https://github.com/void-wright) I build AI systems that turn scientific and medical documents and scattered operational records into information people can trace to its source and check before acting. I build lasting, repeatable agentic systems with modern retrieval-augmented generation (RAG), reusable agentic harnesses, and specialized skills and agents that evolve through reviewed corrections and self-healing workflows. My molecular-genetics PhD and collaborative radiology model development ground how I evaluate the evidence these systems return. ## Independent engineering · Voidwright Voidloom · memory and reusable agent workflowsRELEASED OPEN-SOURCE CORE · BUILT AND OPERATED I built and released [Voidloom](https://github.com/void-wright/voidloom) so an AI assistant can recover decisions, evidence and known failures across sessions. Local SQLite, keyword/vector search and session hooks supply context. Alongside the memory core, specialist skills, defined agents and staged review/repair procedures make work repeatable, with explicit handoffs and human release decisions. Default local embeddings: Qwen3-Embedding-0.6B (1,024 dimensions) on GPU; Nomic v1.5 (768) on CPU. They make stored context searchable by meaning without sending it to an embedding API. See and try a fully self-contained system example: [Webdev Workbench](https://github.com/void-wright/webdev-workbench) packages memory, skills and staged checks for building new AI-centered websites. Download the folder, open it in your preferred coding assistant, and ask it to read 00_START_HERE.md and SETUP_GUIDE.md and guide setup. Voidmill · local scientific-document intelligenceBUILT AND OPERATED · SOURCE-LINKED RETRIEVAL I built and operated a pipeline that turns scientific papers and product documents into searchable passages with source links. GLiNER-Biomed identifies biomedical terms; SciSpaCy/UMLS connects them to a shared scientific vocabulary. Nomic v2 MoE (768-dimensional) and ModernBERT (256-dimensional stored vectors) complement keyword search so related evidence can be found when wording differs. Coverage and regression checks catch missing or misassociated sources before release. Multistream analytics · find useful patterns in existing medical dataBUSINESS-ANALYTICS DESIGN · PROPOSED MEDICAL APPLICATION I co-designed an engine to connect scattered records and investigate recurring patterns (shapelets) across text, events and measurements. For medical data, I would link imaging findings, biomarkers, genomic results and clinical records, using known diagnoses and reviewed findings as reference signals. The aim: identify meaningful combinations and changes over time, then test them on held-out records before people rely on them. My tested local components include DeBERTa NLI, which scores text against defined categories, and a simpler word-pattern classifier used as a baseline. I would combine local text measurements with statistical change and cross-stream tests, keeping sensitive processing inside the controlled environment and returning source-linked findings for clinical review and clear dashboards. ## Professional experience Co-Founder & AI Engineering Lead · Cypher Lab Aug 2025 – present - Designed multi-agent workflows linking research, positioning, specialist content, technical review and publication. Built custom orchestration infrastructure, integrated teammates’ shared skills with my own components, and documented handoffs and human release decisions. - Built custom API-backed command-line tools with structured JSON and explicit error contracts. Designed shared Google OAuth 2.0 sign-in and ES256-signed identity tokens with 30-day expiry, validation, allowlisting and admin command gates; kept provider credentials encrypted at rest. - Built and deployed Astro publishing and resource-hub systems to make reviewed scientific and commercial material available to users. Senior Manager of Marketing Operations · Precision Cell Systems / ORFLO Technologies 2024 – Oct 2026 - Led positioning, campaigns and sales enablement for Moxi cell-analysis and Singulator sample-preparation products, translating customer questions and scientific evidence into practical materials. - Deployed AI-assisted website inquiry intake into the live CRM. Model-assisted qualification assesses inquiries; rules route categories, while code controls identity matching, deduplication and writes. Tested creation/readback/deletion and repaired mismatches and missed writes after release. - Built product-support knowledge bases and a working cloud-based support prototype integrated with Slack. Field Application Scientist · ORFLO Technologies 2023 – 2024 - Demonstrated and supported Moxi instruments, joined scientific sales calls and resolved technical escalations. Created and narrated training videos and wrote Moxi V IQ/OQ qualification protocols for a customer. ## Scientific research Post-Doctoral Research Associate, Radiology & Medical Imaging · University of Virginia 2020 – 2023 - Collaboratively developed CT segmentation models. I designed and coordinated data curation, test/validation groups, training, evaluation and subsequent use, with collaborators. Used TIFF-to-NIfTI preparation and TensorFlow/Keras; compared segmentation outputs with manual reference images. Graduate Researcher, PhD · University of Virginia 2014 – 2019 - Studied cardiometabolic disease through genetic analysis and laboratory validation; coordinated studies and mentored junior researchers. Collaboratively developed and used U-Net-based MRI fat quantification in mouse research. ## Education and technical range PhD, Biochemistry & Molecular Genetics · University of Virginia, 2019 MS, Biology · UC San Diego, 2014 · BS, Molecular Biology · UC San Diego, 2013 10 peer-reviewed publications · [ORCID 0000-0003-4131-2775](https://orcid.org/0000-0003-4131-2775) Python · SQL / SQLite · Node.js / REST APIs / MCP · hybrid retrieval · graph context · model evaluation · human review · TensorFlow / Keras · Astro / Sanity Andrew Grainger, PhD · Medical & Local-First Applied AI Systems