Hunter Pruett

I'm currently building HoneyHive, an LLM evaluation platform, and will be at Ramp Applied AI for Summer 2025 and Mercury (Team TBD) for Fall 2025.

I currently attend UC Berkeley and study EECS and will graduate in 415 days exactly.

Work-wise, I've become really good at Full Stack Development (using React, NextJS, ExpressJS, TypeScript, etc.) and am now focusing on building LLM-based products.

At Berkeley, I enjoy studying machine learning topics like Q-learning and reinforcement learning (via CS 188 at Berkeley), and find topics from CS 70 incredibly interesting, like RSA encryption and the Halting Problem.

I also take on many of my own projects, including an automatic trading system that uses LLM's to execute trading strategies, and a remotely-deployed off-grid IoT hosting network.

You can connect with me on LinkedIn, or email me at pruett [at] berkeley [dot] edu.