Swarnadeep Saha
Research Scientist at Meta
Greater Seattle Area United States
Summary
👤
Senior🎓
Top SchoolSwarnadeep 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.
9 years of coding experience
8 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)Nava NalandaBachelor of Engineering (BEng) Computer Science, Bachelor of Engineering (BEng) Computer Science at Jadavpur UniversityDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of North Carolina at Chapel Hill
English, Bengali, Hindi
Github Skills (35)
facebook7
sequence7
python7
nlp7
natural-language-processing6
ctc6
pytorch6
deep-learning5
machine-learning5
data-science5
artificial-intelligence5
transformers4
sentence4
bert4
sequence-to-sequence4
Programming languages (3)
Github contributions (5)
swarnaHub/ExplaGraphs
Oct 2021 - Nov 2022
Contributions:15 commits, 16 pushes, 1 branch in 1 year
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
pytorchproverrulesinterpretableemnlp
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