Summary
Gyanig Kumar is a robotics-focused computer vision engineer with 8 years of experience, currently pursuing a MS in Computer Science at the University of Colorado Boulder researching shared autonomy and human–robot interaction. He has built practical ROS systems for assistive manipulation, integrated multi-camera calibration and real-time demos with Sawyer, and pioneered gaze-based intent recognition using Tobii Glasses 3 for adaptive teleoperation. Prior work at IISc’s I3D Lab advanced gaze estimation and inverse RL—improving intent recognition and shipping a lightweight eye-gaze model for automotive HUDs—while managing large multimodal datasets and collaborating with industry partners like Collins Aerospace. Comfortable across SLAM, motion planning, diffusion models, and multimodal dataset synthesis, he blends academic research with hands-on system integration. Outside academia he’s an experienced live coder and community educator (Twitch science & tech streamer) who built a just-in-time interpreter during streams, reflecting strong communication and teaching skills. Based in Boulder, he brings a rare mix of vision-language experimentation, eye-tracking expertise, and practical robotics engineering to human-centered autonomous systems.
8 years of coding experience
1 year of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of Colorado Boulder
Bachelor's degree, Computer Science and System Engineering, 9+, Bachelor's degree, Computer Science and System Engineering, 9+ at Kalinga Institute of Industrial Technology, Bhubaneswar
English