Hunter Pruett is a Founding Engineer at Dryft, building at the intersection of AI agents and industrial operations - the systems that run the physical world.

Hunter studied Electrical Engineering & Computer Science (EECS) at UC Berkeley, where he gravitated toward machine learning and theory alike - reinforcement learning and Q-learning, alongside foundations like RSA encryption and the Halting Problem. He pairs that with deep full-stack craft (React, Next.js, Express, TypeScript) and a focus on shipping LLM-based products, much of it self-taught from a young age and sharpened through a steady stream of his own projects, including an LLM-driven automated trading system and a remotely-deployed, off-grid IoT hosting network.

Before Dryft, Hunter was an Applied AI Engineer at Ramp, where he built Ramp Sheets - an AI-native spreadsheet agent that began as his internship project and shipped to customers (featured on Ramp's builders blog) - and developed product around evaluating LLMs at scale. He is a serial builder beyond his day jobs: he co-founded LexPrep, an AI-native LSAT prep tool with rapidly growing revenue; co-founded Mother Armenia, a 501(c)(3) recurring-donations platform that has raised over $20K to support Armenia; and ran an e-commerce and robotic-arm manufacturing line that scaled to roughly $250K in revenue in its first year. As a high schooler he led the team behind a world-ranked FRC robot (15th globally, undefeated at the LA Regional). He also served as president of Glendale Community College's largest student-run club, growing membership past 220, raising over $3K, bringing C++ robotics platforms to fellow students, and building the school's first food-delivery robot.

His work has earned him recognition as a Neo Scholar. He is also an aviation enthusiast, an essayist who writes on technology, engineering, and the craft of building, and a proud champion of his Armenian heritage.