Parth Doshi is a computer vision and machine learning engineer with eight years of experience building perception and prediction systems for autonomous and video-processing applications. He has shipped production ML features at Cruise—ranging from scene and joint motion forecasting to data-driven behavior mining—and now applies that expertise as a Member of Technical Staff at DatologyAI in San Francisco. His background spans research (UCSD Autonomous Vehicles Lab), hands-on embedded CV work for robotics, and scalable cloud pipelines for automated video subtitling and content localization. Parth combines rigorous academic training (MS CS, UCSD) with practical optimization skills—e.g., accelerating inference on Jetson and TensorRT and halving manual video processing effort via automated pipelines—reflecting a pragmatic focus on closing the gap between human perception and machine understanding.
8 years of coding experience
6 years of employment as a software developer
University of California, San Diego
A Levels CIE Science, A Levels CIE Science at Rustomjee Cambridge International School & Junior College
Bachelor of Engineering - BE Computer Engineering, Bachelor of Engineering - BE Computer Engineering at Dwarkadas J. Sanghvi College of Engineering
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