Debabrata Mandal is a PhD research intern and machine learning researcher focused on image processing, computer vision, and graphics, currently based in Chapel Hill and pursuing a PhD in Computer Science. With eight years of experience spanning industry and academia, he has optimized ML inference for defect inspection at KLA and accelerated generative rendering in internships at AMD and Dolby. He blends deep research skills with production engineering—shipping models and deployment pipelines from internships at GoodHealth, Samsung, and Ubisoft to open-source contributions like Boost.GIL work during GSoC. As a graduate teaching assistant he supported large undergraduate data science courses, and his background from IIT Bombay includes robotics work on autonomous navigation for a Mars rover team. A quick learner who enjoys competitive programming and chess, he uniquely combines low-level template metaprogramming experience with practical ML deployment expertise.
8 years of coding experience
3 years of employment as a software developer
Indian Institute of Technology Bombay
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at The University of North Carolina at Chapel Hill
Contributions:18 reviews, 53 commits, 12 PRs in 4 days
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