Summary
Druv Pai is a PhD student at UC Berkeley and a Member of Technical Staff at Thinking Machines Lab with nine years of experience at the intersection of machine learning, data science, and software engineering. His research at BAIR focuses on interpretable representation learning and generative models, informed by advisors across theoretical and applied ML. Druv has interned at Google DeepMind/Google Research working on synthetic data, continual pre-training, and foundation model architectures, and helped engineer open-weight LLMs and function-calling pipelines at Nexusflow. He blends strong systems and infrastructure skills—gained through multiple software engineering internships and course staff roles—with rigorous research training, making him effective at taking models from theory to reproducible code and evaluation. Based in San Jose, he brings a knack for practical ML tooling and a subtle emphasis on interpretability that guides his work on next-generation generative systems.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Electrical Engineering and Computer Science, Master of Science - MS, Electrical Engineering and Computer Science at University of California, Berkeley
High School Diploma, High School Diploma at Archbishop Mitty High School
English, Spanish