Dishank Bansal
Research Engineer at Google DeepMind
Montreal, Quebec, Canada
Summary
🤩
Rockstar🎓
Top SchoolDishank Bansal is a research engineer based in Montreal with a decade of experience building and deploying perception, deep learning, and reinforcement learning systems for robotics and autonomous vehicles. He has moved from hands-on embedded and ROS-based autonomy work—where his teams placed top in national competitions and integrated CAN-bus systems—into probabilistic deep learning and generalizable RL, now working at DeepMind after research roles at Mila, Meta, and AI Safety Institute. His background blends strong applied CV (SegNet, YOLO, RCNN), real-time model optimization for constrained hardware, and multi-agent RL for driving, giving him a rare combination of low-level systems intuition and cutting-edge ML research. Notably, his early work produced a 10x speedup dehazing model tailored for Jetson-class devices and a synthetic fog dataset for Indian roads, reflecting a focus on robustness in real-world conditions.
10 years of coding experience
6 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Mila - Quebec Artificial Intelligence InstituteKendriya Vidyalaya SangathanHigher Secondary/ 12th Standard, Higher Secondary/ 12th Standard at RamKrishna Vidya Mandir, GwaliorB.Tech Mechanical Engineering, B.Tech Mechanical Engineering at Indian Institute of Technology, Kharagpur
English, Hindi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (89)
python10
deep-learning10
rgb10
nonlinear10
robotics10
computer-vision10
3d-reconstruction10
nonlinear-optimization10
levenberg-marquardt10
machine-learning10
segmentation10
visual-recognition10
stereo10
torchvision9
face-recognition9
Programming languages (7)
Github contributions (5)
dishank-b/Character_Segmentation
Oct 2016 - Jul 2019
Contributions:7 commits, 6 pushes, 1 branch in 2 years 9 months
dishank-b/MSCNN-Dehazing-Tensorflow
May 2018 - Jul 2018
Contributions:27 commits, 3 comments, 1 issue in 1 month
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