Ankit Gupta
Research Scientist at IBM
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolAnkit Gupta is a Research Scientist at IBM Research specializing in machine learning and natural language processing, with eight years of research experience spanning academia and industry. He completed a PhD in Computer Science at Chennai Mathematical Institute and served as a postdoc in Jonathan Berant’s group at Tel Aviv University, producing work published in top venues including ACL, EMNLP, ICLR, NeurIPS, CACM, JACM, and TACL. His trajectory includes research roles and internships at Microsoft and Google, plus an AI residency at IBM, reflecting deep experience translating cutting-edge research into practical systems. Based in Cambridge, MA, he blends theoretical rigor with applied focus, often tackling language understanding problems that bridge NLP benchmarks and real-world applications. Colleagues know him for consistently publishing high-impact papers and for navigating both academic and industrial research cultures effectively. Ankit’s background suggests a knack for mentoring cross-disciplinary teams and for turning nuanced research insights into deployable ML solutions.
8 years of coding experience
3 years of employment as a software developer
Indian Institute of Technology KanpurDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Chennai Mathematical Institute
Github Skills (33)
python10
machine-learning10
numpy10
deep-learning10
gpu10
neural-network10
jupyter9
jupyterlab9
autograd9
state-space9
tensor9
gpu-acceleration9
memory-efficient7
language-model7
compiler7
Programming languages (5)
Github contributions (5)
ag1988/dss
Mar 2022 - Aug 2022
Contributions:16 commits, 1 push, 1 branch in 4 months
ag1988/top_k_attention
Jun 2021 - Sep 2021
The accompanying code for "Memory-efficient Transformers via Top-k Attention" (Ankit Gupta, Guy Dar, Shaya Goodman, David Ciprut, Jonathan Berant. SustaiNLP 2021).
Contributions:12 commits, 11 pushes, 1 branch in 3 months
pytorchnlpguptamemoryefficient-transformers
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