Summary
Nitish Dashora is a PhD student and research assistant at MIT CSAIL with nine years of hands-on experience in robot learning, lifelong learning systems, and foundation models, grounded in a BS from UC Berkeley. He has a strong track record of translating research into systems—from hierarchical skill discovery under Stuart Russell to robotics experiments at Berkeley that boosted planning throughput and navigation quality. His work spans reinforcement learning, unsupervised representation learning, and memory mechanisms for human-like continual learning, with publications and first-authored contributions in top robotics venues. Past internships at NASA JPL and Amazon demonstrate his ability to deploy scalable ML engineering (e.g., multi-cluster Spark optimizations and multimodal sensor fusion) alongside theoretical innovation. Based in Powell, Ohio, he blends deep academic rigor with practical engineering, often improving system-level performance by orders of magnitude through novel algorithmic and implementation choices.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Massachusetts Institute of Technology
BS Electrical Engineering and Computer Science (EECS), BS Electrical Engineering and Computer Science (EECS) at UC Berkeley College of Engineering
High School Diploma, High School Diploma at Olentangy Liberty High School
OSU Academy Student (CCP), OSU Academy Student (CCP) at The Ohio State University
English, Hindi