Summary
Ashutosh Naik is an Information Technology Analyst with 8 years of experience blending machine learning research and applied software engineering, currently based in Jersey City and employed at Nomura. He holds an MS in Computer Science from the University of Colorado Boulder where he contributed to ShelfHelp, a human-level performing smartcane project (AAMAS 2023) that used autoencoders and novel guidance commands to assist visually impaired shoppers. His background includes hands-on deep learning work—optimizing MRCNN, UNet, Detectron2 and PyTorch pipelines for medical and dermatological imaging with strong performance gains—and teaching undergraduate computer systems courses. Comfortable moving research into production, he combines rigorous academic training (4.00 MS, top-ranked BTech) with practical experience in model tuning, evaluation, and student-facing communication. Colleagues describe him as detail-oriented and research-driven, with a knack for turning prototype vision into validated, usable systems.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Technology - BTech, Computer Engineering, 9.77, Bachelor of Technology - BTech, Computer Engineering, 9.77 at Bhartiya Vidya Bhavans Sardar Patel Institute of Technology Munshi Nagar Andheri Mumbai
Master of Science - MS, Computer Science, 4.00, Master of Science - MS, Computer Science, 4.00 at University of Colorado Boulder