Debasmit Das
Staff Researcher at Qualcomm
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolDebasmit Das is a Staff Researcher in San Diego with 11 years of experience bridging academic rigor and industry impact in machine intelligence. He holds a PhD in Electrical and Computer Engineering from Purdue and a distinguished Bachelor's from IIT Roorkee, and has focused on transfer learning, adaptive signal processing, and motion control across domains like computer vision, biosignals, robotics, and motorsports. At Qualcomm he investigates personalization, data-efficiency and scene understanding for XR, biometrics, and automotive use cases, translating research prototypes toward real-world products. His background includes successful NSF grant co-writing, robotics outreach, and hands-on lab work from plasmonics to waveguide fabrication, reflecting a rare mix of theoretical depth and experimental breadth. Colleagues describe him as someone who consistently finds practical ways to make data-efficient models work on constrained, real-world systems.
11 years of coding experience
2 years of employment as a software developer
Indian Institute of Technology RoorkeeDoctor of Philosophy (Ph.D.), Electrical and Computer Engineering, Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering at Purdue University
English, German, Bengali, Hindi
Github Skills (69)
style-transfer10
few-shot-learning10
adaptation10
representation-learning10
theory10
self-supervised-learning10
paper10
transfer-learning10
unsupervised-learning10
meta-learning10
multi-task-learning10
survey10
generalization10
datasets9
adversarial-learning8
Programming languages (2)
Github contributions (5)
debasmitdas/ECE661
Sep 2016 - Dec 2016
Contributions:18 commits in 3 months
debasmitdas/PUMA-560-OpenRave-Simulation
Dec 2014 - Jun 2015
Contributions:2 commits, 1 push in 6 months
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