Check out our paper below!

Technical lead role in developing ML solution end-to-end for abuse detection in healthcare claims

Analyzing, visualizing, transforming data, and feature engineering on claims data

CS156 - Machine Learning

CS146 - Intro Statistics

CS166 - Modeling and Simulation

CS110 - Data Structures and Algorithms

CS50/51/50B - Intro to CS

• Model Design: Tested R-CNN, SSD, HOG, and YOLO models for airplane detection in high-resolution satellite imagery. Synthesized the models' low-level techniques that are suitable for satellite image domain

• Optimization: Reduced the proposal regions by 95% while maintaining comparable model performance quality to shorten experimental times by using selective search, edge detection, and image analysis

• Built software to automate removing watermarks from 10,500 mammography images.

• ML Model Design: Redesigned state-of-the-art breast cancer diagnosis Deep Learning architecture, improving the benchmark AUC by 7%. Wrote PyTorch script and trained models on Google Cloud Platform