Summary
Derrick Stuckey is an AI-native technology executive and hands-on architect with over a decade of experience building production AI systems that bridge data science, engineering, and product. He has led end-to-end AI transformations—driving engineering velocity, deploying Snowflake-driven analytics, and cutting human-in-the-loop processing from 100% to ~25%—while personally prototyping agentic systems like a medical bill QA agent and an AI voice agent. Derrick built a production extraction pipeline with 30+ modules that pushed itemized medical charge accuracy from 90% to 99.8% and implemented cost-saving LLM caching to enable high-volume testing. As a player/coach he has hired and developed data science and engineering teams, owned product roadmaps, and instituted AI-first SDLC practices that scaled delivery cadence to weekly releases. He also teaches data mining and predictive modeling, reflecting a habit of turning complex technical work into teachable frameworks. Based in Baltimore, he combines physics-trained analytical rigor with product instincts to automate legal work in personal injury through agentic AI.
11 years of coding experience
16 years of employment as a software developer
Master's Degree Business Analytics, Master's Degree Business Analytics at The George Washington University School of Business
non-degree program Operations Research/Computer Science, non-degree program Operations Research/Computer Science at George Mason University
BA Physics, BA Physics at University of Virginia
German