Summary
Ameya Dhamanaskar is a Machine Learning Engineer with 8 years of experience at the intersection of computer vision, ML research, and production software engineering, currently building edge-deployable pill-counting and object detection systems at UnitedHealth Group. He brings a strong research pedigree—having improved egocentric 3D pose estimation by 12% and produced synchronized multi-view datasets—combined with hands-on industry work in sim-to-real 3D detection and optimized RPN networks at RadiusAI. Comfortable across the stack, Ameya has designed scalable services and database integrations in enterprise environments and built routing and automation systems for retail operations. He holds an MS in Computer Science from Arizona State and a BE from BITS Pilani, and his work is published in Pattern Recognition, reflecting a blend of rigorous research and practical deployment. Notably, he focuses on making advanced vision models efficient for constrained hardware, a skill that ties his academic gains directly to production impact.
7 years of coding experience
4 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Arizona State University