Description
Software Engineer Apprentice and Leadership Award recipient; led product-decoder, co-trained a U-Net brain-tumor classifier on 7,023 MRI scans, and co-wrote PG-FMS.
Key Responsibilities
- Led product-decoder (https://github.com/WomB0ComB0/product-decoder), a web app that identifies products from a photo using Google Cloud Vision (Next.js, Bun)
- Trained a brain-tumor classifier (https://bitbucket.org/womb0comb0/ml-models-win-25/src/main/) on 7,023 MRI scans with two teammates and benchmarked it against a 3D model (U-Net)
- Co-wrote PG-FMS (https://gitlab.com/WomB0ComB0/pg-fms), a command-line file manager whose filters run on a trie and a priority queue (Python)
Technologies Used
Next.js
Bun
Google Cloud Vision
Python
U-Net
TensorFlow