Jeremy Findley is an AI researcher and systems developer with 11 years of hands-on experience building privacy-first, offline AI applications and local LLM deployments using consumer-grade hardware. He designs end-to-end RAG pipelines, persistent memory assistants, and modular AI platforms—shipping projects like Celeste2, GameMaster, and Nova that emphasize practicality and rapid iteration on edge devices. Fluent in C#, Python, and TypeScript, and comfortable optimizing models with tools like llama.cpp and quantization, he pairs GPU/HPC know-how with Linux-first operations. Jeremy’s work blends infrastructure engineering and user-centered experimentation—demonstrated by home-built multi-node clusters and evaluations of freemium AI tools to gauge real-world usability. Based in Selmer, Tennessee, he brings a pragmatic, security-minded approach informed by field experience in the Coast Guard Auxiliary and state guard service.
10 years of coding experience
Associate of Arts - AA, General Studies, Associate of Arts - AA, General Studies at Northeast Mississippi Community College
Private Investigator, Private investigation, Private Investigator, Private investigation at Penn Foster Group
Certificate, Incident Management, Certificate, Incident Management at Emergency Management Institute
Contributions:20 PRs, 19 pushes, 20 branches in 4 years 1 month
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Jeremy Findley - AI Researcher at U.S. Coast Guard Auxiliary