Summary
Mohit Khatwani is a software engineer in Seattle with 3 years of industry experience building production ML systems and a strong research background from an MS in Computer Science at UMBC. He has applied ML and reinforcement learning across domains—fraud detection, location analytics, and brain-computer interfaces—moving models from prototyping in Python and PyTorch/Keras to production at companies including TransUnion, Grainger, and Google. Comfortable across languages (Python, C++, Java, Go) and distributed tooling (pySpark, GraphX), he pairs algorithmic depth (DQN, policy gradients, VAE, binarized CNNs) with practical engineering like C++ preprocessing for large datasets. Notably, his research work emphasizes reducing RL training time with human-in-the-loop approaches, reflecting a focus on efficient, usable AI rather than only raw model accuracy.
3 years of coding experience
4 years of employment as a software developer
Mathematics and Computer Science, Mathematics and Computer Science at City International School
UMBC
Bachelor of Engineering (B.E.), Computer Science, Bachelor of Engineering (B.E.), Computer Science at Savitribai Phule Pune University
J.N petit Technical High School