Summary
Daniel Williams is a Managing Principal and AI product builder with 13 years of experience leading enterprise digital transformation, product strategy, and AI-enabled workflows from the federal sector to nonprofits and commercial clients. He runs an AI product lab focused on memory systems, autonomous agents, and intelligent workflows, having launched Local Memory — a commercial MPC server providing persistent, cross-agent memory without cloud dependence. Daniel blends hands-on product delivery and go-to-market strategy, previously driving ~$5M in annual revenue growth through co-selling and solution delivery at Pariveda and leading large portfolios at Beyondsoft. He pairs technical depth (early career software engineering and systems work at the Federal Reserve, SAIC, and Booz Allen) with practical advisory experience for organizations like Jobs for the Future and military-family initiatives. An author and mentor active in alumni and STEM programs, he’s known for translating complex AI concepts into non-coder-friendly guidance and prototypes that accelerate adoption.
13 years of coding experience
7 years of employment as a software developer
B.S. Computer Science, B.S. Computer Science at Bowie State University
M.S. Technology Management, M.S. Technology Management at George Mason University – Costello College of Business
English, Spanish