Engineered 20+ time-based features and reduced prediction error by 16% through systematic comparison of models.

Built transformer-based classifier achieving 94% AUC on 1.8M toxic comments while identifying systematic bias.

Spearheaded development of computer vision system for tire quality classification using PyTorch transfer learning.