AI/ML Engineer

Richard Franklin

I've been coding since I was 12 and have picked up a wide range of software skills along the way. These days, I'm focused on developing AI agents, independently researching robotics perception and control, and doing multi-modal research at University of Washington.

Trained in My Gym

Humanoid robots trained to mimic a range of human animations with deep reinforcement learning. Code is available here.

Publications

Projects

Nebo

A modern logging SDK for multi-modal data built for humans and AI agents

ADD Gym

Humanoid robots trained to mimic a range of human animations with deep reinforcement learning using the Unitree G1.

Wear - AI Virtual Try-On

Developed a large diffusion-based try-on model allowing users to virtually try on clothing from any store with this app on iOS, Android, and Chrome.

Graphbook

Open-source observability and DAG-execution framework for building highly parallelized AI-driven data processing pipelines.

Work

Blog

Connect

Feel free to contact me at rsamfranklin@gmail.com

A human being should be able to change a diaper, plan an invasion, butcher a hog, conn a ship, design a building, write a sonnet, balance accounts, build a wall, set a bone, comfort the dying, take orders, give orders, cooperate, act alone, solve equations, analyse a new problem, pitch manure, program a computer, cook a tasty meal, fight efficiently, die gallantly. Specialization is for insects.

Robert A. Heinlein, Time Enough for Love