Summary
Surya Sharma is a Managing Scientist in Menlo Park with 12 years of experience building ML-driven systems that bridge embedded computing, computer vision, and healthcare. He holds a PhD in Computer Engineering and has led end-to-end projects deploying real-time camera inspection for manufacturing and low-power wearable sensing solutions used in diabetes research. At Exponent he translates cross-disciplinary requirements—from clinicians to factory technicians—into deployed sensors, camera systems, and production-ready software (C/C++, Python, MATLAB, TensorFlow). His research produced the largest wrist-motion dataset for automated dietary monitoring and shipped activity-recognition CNNs to Android and Apple wearables, showing a rare track record of taking algorithms from field studies to clinical and industrial use.
12 years of coding experience
14 years of employment as a software developer
Master of Science - MS, Computer Engineering, Master of Science - MS, Computer Engineering at Clemson University
Bachelor of Engineering, Electronics and Telecommunication, Bachelor of Engineering, Electronics and Telecommunication at University of Mumbai
English