Deep Chakraborty
Graduate Research Assistant
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolDeep Chakraborty is a machine learning researcher and final-year Ph.D. candidate in computer science with 11 years of experience spanning computer vision, speech, and embedded robotics. Based in Boston, he has contributed to self-supervised learning and geologic image analysis for Mars rover imagery, unsupervised motion segmentation, and scene understanding at Apple, with multiple peer-reviewed publications at CVPR/ECCV and INTERSPEECH. He combines strong academic training (MS/PhD, UMass Amherst) with industry experience in production-focused teams (Seagate, Philips) and hands-on systems knowledge in storage, embedded vision, and real-time robotics. Notably, his work blends unsupervised representation learning with practical engineering—improving object detection via Unsupervised Hard Negative Mining and applying deep saliency for thermal pedestrian detection.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Technology (B.Tech.), Electronics and Communications Engineering, 8.9/10.0, Bachelor of Technology (B.Tech.), Electronics and Communications Engineering, 8.9/10.0 at Manipal Institute of TechnologyMaster of Science - MS, Computer Science, 3.9/4.0, Master of Science - MS, Computer Science, 3.9/4.0 at University of Massachusetts Amherst
English, Hindi, Bengali
Github Skills (10)
github-pages10
jekyll10
responsive10
jekyll-theme10
pytorch6
faster-rcnn5
face4
face-recognition3
face-detection3
pixel1
Programming languages (3)
Github contributions (5)
deepc94/pid-fpga-vhdl
May 2015 - Apr 2019
Contributions:6 commits, 5 pushes, 1 branch in 4 years
deepc94/deepc94.github.io
May 2022 - Mar 2025
Contributions:19 pushes, 1 branch in 2 years 10 months
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