Deepak Talwar is a computer vision and robotics engineer with a decade of experience building perception systems for autonomous platforms, currently contributing to 3D reconstruction for Apple Vision Pro. He has led perception work for agricultural robots at FarmWise—developing stereo-imaging crop-height estimation and fleet-wide 3D ToF point-cloud pipelines that materially improved weeding accuracy—and earlier validated multi-sensor HD map collections at DeepMap. Deepak combines classical CV, deep learning, and point-cloud processing with robotics middleware (ROS) and C++/Python production tooling, informed by a strong controls and mechatronics background from UC Berkeley and a 4.0 MS in Computer Engineering. He’s comfortable moving between research and production: from geometric RL path-planning simulations in academia to bringing up hardware and firmware for camera fleets in the field. Based in San Francisco, he pairs hands-on sensor bring-up and algorithm design with practical systems engineering for real-world autonomy.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Science (BS) Mechanical Engineering and Electrical Engineering and Computer Science Minor, Bachelor of Science (BS) Mechanical Engineering and Electrical Engineering and Computer Science Minor at University of California, Berkeley
Master's degree Computer Engineering 4.0/4.0 GPA, Master's degree Computer Engineering 4.0/4.0 GPA at San José State University
Introduction to Self-Driving Cars Nanodegree Computer Engineering, Introduction to Self-Driving Cars Nanodegree Computer Engineering at Udacity
roshell - An interactive shell for robotics applications
Contributions:94 commits, 1 PR, 15 pushes in 3 months
stemroboticsleiningenros2webots
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.