Summary
Megh Bhalerao is a PhD student and Graduate Research Assistant at Rice University with eight years of experience at the intersection of computer science, electrical engineering, and applied machine learning. His background spans academic research and industry internships—recently analyzing semiconductor foundry electrical data at AMD and working on data summarization and distillation at the University of Washington—alongside teaching foundational EE and algorithms courses. He has contributed to BioNLP, computer vision, weakly-supervised learning, and medical image analysis projects, demonstrating a pattern of translating deep learning research into practical tools and datasets. Based in Houston, Megh combines rigorous academic training (MS ECE, BTech EEE) with hands-on experimentation across optimization, metric learning, and domain adaptation, and maintains an academic profile and portfolio via Google Scholar and a personal homepage. A less obvious strength is his recurring role bridging teaching and research, which sharpens his ability to communicate complex technical ideas to diverse audiences.
7 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Electrical & Computer Engineering, Master of Science - MS, Electrical & Computer Engineering at University of Washington
B.Tech, Electrical and Electronics Engineering, B.Tech, Electrical and Electronics Engineering at National Institute of Technology Karnataka
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Rice University
PUC, Science, PUC, Science at Sri Chaitanya College of Education
Ryan International School, Bangalore
English, Marathi, Hindi, Kannada