Computer-Vision

We create TabMe++, an enhanced page stream segmentation benchmark with commercial-grade OCR, and show that parameter-efficiently fine-tuned decoder-based LLMs like Mistral-7B achieve 80% straight-through processing rates, dramatically outperforming encoder-based models.

A project I built with Emmanuel Espino and Jason Zogheb at the 2017 Drexel Music Hackathon. It uses computer vision to read a Rubik’s cube and generates music based on how solved each face is.