Anush Kumar
Machine Learning Engineer II at Torc Robotics
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolAnush Kumar is a Machine Learning Engineer II based in Austin with eight years of experience building computer vision and robotics systems that bridge academia and industry. At Torc Robotics he led deployment of the company's first multi-modal 3D object detection model for production trucks and contributed to flow-guided online stereo rectification (CVPR 2024), reflecting a focus on robust perception for real-world autonomy. His background includes egocentric and multi-view geometry research at the University of Minnesota (EgoExo4D, Mouse3D) and internships across vision startups, giving him a rare blend of research-caliber publications and hands-on system delivery. Comfortable across the ML lifecycle, he specializes in multi-modal end-to-end learning and stereo vision while prioritizing solutions that move from prototype to vehicle-grade deployment.
8 years of coding experience
2 years of employment as a software developer
Master's degree, Robotics, Master's degree, Robotics at University of MinnesotaBachelor of Technology, Electrical, Electronics and Communications Engineering, Bachelor of Technology, Electrical, Electronics and Communications Engineering at Manipal Institute of Technology
Github Skills (31)
image-enhancement5
camera-calibration5
image-translation4
voc4
anchor4
data-storage3
segmentation3
ssim3
apriltags3
aruco3
fisheye3
photo2
image-processing2
jetson2
slam-algorithms2
Programming languages (6)
Github contributions (5)
hdjsjyl/Multispectral-FCOS
Jun 2019 - Jun 2019
Anchor-less Pedestrian Detection, on KAIST Multispectral Dataset.
Contributions:16 commits in 7 days
kaistpedestrian-detectionpedestrianmultispectraldataset
anushl9o5/openpose_ros
Mar 2020 - Mar 2020
Contributions:11 commits in 1 day
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