Nobinย Sarwar

Graduate Research Assistant

Washington, District of Columbia, United States
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Summary

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Nobin Sarwar is a PhD student and Graduate Research Assistant at UMBC specializing in post-training optimization and system-level methods for trustworthy NLP and multimodal models. With a decade of experience, he blends hands-on research in federated learning, differential privacy, and compressive sensing with practical system design for privacy-preserving and robust AI. His prior work at UTRGV contributed to a $600k NSF grant and produced peer-reviewed publications on biometric presentation attack detection and privacy-preserving data publishing. Nobinโ€™s focus spans both model-level techniques for LLMs/VLMs and distributed learning frameworks, signaling a rare combination of algorithmic depth and deployment awareness. Based in Washington, DC, he brings a research-first mentality to applied problems, often reframing system challenges to unlock provable privacy and trust guarantees. Colleagues note his ability to translate complex theory into reproducible systems that scale beyond toy datasets.
code10 years of coding experience
job2 years of employment as a software developer
bookMaster of Science - MS Computer Science, Master of Science - MS Computer Science at The University of Texas Rio Grande Valley
bookUMBC
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Stackoverflow

Stats
53reputation
3kreached
1answer
6questions
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Github Skills (28)

artificial-intelligence10
machine-learning10
reinforcement-learning10
deep-learning10
campus10
jekyll9
mozilla9
python8
jekyll-theme8
github-pages8
unicorns8
html6
tensorflow6
google-colaboratory6
css6

Programming languages (4)

JavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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smsnobin77/awesome-mlss

Feb 2023 - May 2024

List of summer schools in machine learning + related fields across the globe
Contributions:2 PRs, 12 pushes, 3 branches in 1 year 3 months
Contributions:2 PRs, 63 pushes, 1 branch in 7 months
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