Shib Dasgupta
Applied Scientist II at University of Massachusetts Amherst
California, United States
Summary
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Senior🎓
Top SchoolShib Dasgupta is an Applied Scientist and PhD candidate at UMass Amherst specializing in set-based representation learning for NLP and information retrieval, with a focus on efficient, interpretable aggregation methods. Over eight years of research and industry experience, he has interned or collaborated with teams at Google Research, Microsoft Research, IBM Research, Adobe, and AWS, translating academic ideas into applied systems. His work bridges rigorous machine learning theory and practical deployment, informed by mentors like Andrew McCallum, Partha Talukdar, and Steffen Rendle. He brings a rare combination of deep academic training from IISc and UMass and hands-on product exposure across cloud and research labs, currently based in California. An active researcher, his publications and citations reflect a steady impact on representation learning techniques that improve how complex information is summarized and retrieved.
9 years of coding experience
2 years of employment as a software developer
Master's degree System Science and Automation, Master's degree System Science and Automation at Indian Institute of Science (IISc)Bachelor of Technology (B.Tech.) Electrical Engineering, Bachelor of Technology (B.Tech.) Electrical Engineering at Jadavpur UniversityDoctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at University of Massachusetts Amherst
Github Skills (27)
representation-learning10
knowledge-graph9
wikidata9
embedding9
self-organizing-map8
tensorflow8
machine-learning8
factorization7
deep-learning6
nlp5
natural-language-processing5
pdf5
pytorch5
robotics4
openai-gym4
Programming languages (3)
Github contributions (5)
malllabiisc/HyTE
Sep 2018 - May 2019
EMNLP 2018: HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding
Contributions:14 commits, 2 PRs, 34 pushes in 7 months
knowledge-graphknowledge-baseembeddingrepresentation-learningtemporal-information
iesl/gumbel-box-embeddings
Oct 2020 - Apr 2021
Contributions:14 commits, 2 PRs, 10 pushes in 6 months
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