I have a wide background of software engineering experiences, and today, I study and apply deep learning for robots' perception and control.
Publications
Projects
AI Virtual Try-On app for iOS, Android, and Chrome allowing users to virtually try on clothing from any store.
Open-source observability and DAG-execution framework for building highly parallelized AI-driven data processing pipelines.
iOS app that turns Spotify playlists into a public music queue. Users can vote and add tracks to play on a host device.
Fishing automation in World of Warcraft using Computer Vision methods with Python and OpenCV.

The final project for the hardest course (CMPE118) at University of California, Santa Cruz. The robot was designed to navigate tape, avoid obstacles, and shoot ping pong balls at a 2kHZ emitting IR beacon.
Work
Blog
Connect
Feel free to contact me at rsamfranklin@gmail.com
