Summary
Shyam Sundar is an Analytics Team Lead and machine learning engineer with nine years of experience building scalable ML systems, specializing in computer vision, optimization, and sequential decision-making. He blends academic research—co-authoring a multi-agent Bayesian optimization paper—with hands-on product work like federated learning, Jetson deployment, and multi-armed bandit ad allocation that cut regret and increased lead generation. Based in San Jose, he bridges theory and production: designing lightweight, accuracy-focused models for edge devices while automating deployments and low-latency communication for real-world fleets. Comfortable across the stack from Spring/Node APIs to embedded inference, he gravitates toward stochastic, high-dimensional problems and enjoys turning unknowns into tractable systems. Known for persistence in code and a curiosity for multi-agent and operation research challenges, he’s actively exploring personal AI OS research through open-source R&D contributions.
9 years of coding experience
6 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Arizona State University
Bachelor of Engineering (BE), ECE, Bachelor of Engineering (BE), ECE at College of Engineering, Guindy
PGP DSE, Data science, PGP DSE, Data science at Great Lakes Institute of Management