Summary
Abhishek Varghese is a PhD student and research assistant at the LASER Lab, UMass Amherst, with nine years of experience applying machine learning to hard research and real-world problems. He has built reinforcement learning agents for proof synthesis, developed transformer-based item embeddings to improve recommender diversity during a PhD internship, and published applied ML work spanning climate analytics to quantum-inspired phase detection. Comfortable bridging theory and engineering, he has taught ML to hundreds of students, led campus tech organizations, and mentored undergraduates as a TA. His work blends deep learning, autoencoders, LSTMs and RL with practical tooling and reproducible code, reflecting both academic rigor (MS 4.0, PhD research) and production-minded experimentation. Outside research he composes piano pieces and writes fiction and poetry, revealing a creative streak that informs his problem-solving and team leadership.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Technology, Computer Science and Engineering, 8.55, Bachelor of Technology, Computer Science and Engineering, 8.55 at Indian Institute of Technology (IIT) Goa
Doctor of Philosophy - PhD, Computer Science, 3.98, Doctor of Philosophy - PhD, Computer Science, 3.98 at University of Massachusetts Amherst