Tarang Shah is a senior software engineer with 12 years of experience specializing in robotics, mapping, computer vision and deep learning for autonomous vehicles and map creation. He holds an MS in Robotic Systems Development from Carnegie Mellon and has driven production ML systems at HERE and safety-validation tooling and scenario testing for autonomy at Argo AI and Aurora. Tarang combines hands-on work across the stack—data pipelines, model training, edge/mobile deployment and cloud-based test infrastructure—to bridge research prototypes and scalable production. His background includes founding a robotics startup that built industrial pick-and-place systems and contributing simulation-driven anomaly detection research at CMU, reflecting a rare mix of embedded controls, perception and system-level safety engineering. Based in Pittsburgh, he focuses on making complex AV mapping and validation problems reproducible, automatable and reliable for deployment.
12 years of coding experience
8 years of employment as a software developer
ICSE, Primary School, 93%, ICSE, Primary School, 93% at Hiranandani Foundation School, Powai
Bachelor of Engineering (B.E.), Electronics and Instrumentation, Bachelor of Engineering (B.E.), Electronics and Instrumentation at Birla Institute of Technology and Science
Master of Science - MS, Robotic Systems Development, Master of Science - MS, Robotic Systems Development at Carnegie Mellon University
HSC, High School/Secondary Certificate Programs, 86%, HSC, High School/Secondary Certificate Programs, 86% at K.J. Somaiya College of Science and Commerce, Mumbai
Contributions:22 commits, 1 push in 1 year 7 months
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