Swarnadeep Saha

Research Scientist at Meta

Greater Seattle Area United States
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Summary

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Rockstar
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Top School
Swarnadeep Saha is a Research Scientist on Meta’s Fundamental AI Research (FAIR) team with a decade of experience spanning industry research labs and academia. He completed a PhD in Computer Science at UNC Chapel Hill as a Google PhD Fellow in NLP and has a track record of internships and research stints at Meta, Salesforce, IBM Research, and Adobe. His work blends deep academic rigor with product-minded research, having moved from graduate research and multiple Meta internships into a full-time FAIR role. Comfortable across the research-to-production spectrum, he has repeatedly been tapped by top labs for short-term collaborations and internships that preceded longer-term appointments. Based in the Greater Seattle Area, he brings both broad systems experience from early engineering roles and recent cutting-edge expertise in language models and fundamental AI. A less obvious strength is his history of teaching foundational CS courses, which sharpens his ability to explain complex ideas and mentor early-career researchers.
code10 years of coding experience
job8 years of employment as a software developer
bookIndian Institute of Technology Delhi (IIT Delhi)
bookNava Nalanda
bookBachelor of Engineering (BEng), Computer Science, Bachelor of Engineering (BEng), Computer Science at Jadavpur University
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of North Carolina at Chapel Hill
languagesEnglish, Bengali, Hindi
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Github Skills (21)

sequence-modeling10
artificial-intelligence9
pytorch9
python9
machine-learning9
deep-learning9
ai7
nlp6
natural-language-processing6
sequence-to-sequence5
graph5
data-science5
paths4
blender4
contrastive-learning4

Programming languages (4)

ScalaJupyter NotebookPostScriptPython

Github contributions (5)

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swarnaHub/ExplaGraphs

Oct 2021 - Nov 2022

[EMNLP 2021] Dataset and PyTorch Code for ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning
Contributions:15 commits, 16 pushes, 1 branch in 1 year
graphpytorch
swarnaHub/PRover

Oct 2020 - May 2021

[EMNLP 2020] PyTorch code of PRover: Proof Generation for Interpretable Reasoning over Rules
Contributions:5 commits, 4 pushes, 1 comment in 7 months
pytorch
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