Krishna Garg

Postdoctoral Research Assistant at University of Oxford, Department of Engineering Science

Chicago, Illinois, United States
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Summary

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Senior
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Krishna Garg is a Postdoctoral Research Assistant at the University of Oxford specializing in Medical AI and AI for Science, with eight years of experience spanning industry and academia. He holds a PhD in Artificial Intelligence from the University of Illinois Chicago and has deep research interests in NLP and deep learning, reinforced by a PhD internship at Adobe working on LLM training and GNNs for NLP tasks. His background includes hands-on embedded and Android framework work at Samsung, where he shipped device bring-up, CarMode features, and built developer tooling—experience that gives him uncommon fluency in both low-level systems and large-scale ML. As a long-time graduate teaching and research assistant, he has taught many core CS courses, blending pedagogy with rigorous research mentorship. Based in Chicago and now at Oxford, he combines practical production engineering instincts with cutting-edge AI research, often bridging gaps between model development and real-world deployment.
code8 years of coding experience
job2 years of employment as a software developer
bookBITS Pilani, Birla Institute of Technology and Science
bookMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Illinois Chicago
bookDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at University of Illinois Chicago College of Engineering
languagesEnglish, Hindi
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Github Skills (113)

nlp10
summaries9
ctc9
transformer9
python9
deep-learning9
neural-machine-translation9
pytorch9
machine-learning9
bert9
sequence9
speech-recognition9
natural-language-processing9
tensorflow9
language-model8

Programming languages (7)

DockerfileC++SCSSHTMLJupyter NotebookPythonJsonnet

Github contributions (5)

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kgarg8/FullTextKP

Oct 2022 - Feb 2023

Official code for Keyphrase Generation Beyond the Boundaries of Title and Abstract (EMNLP Findings 2022)
Contributions:7 commits, 2 PRs, 9 pushes in 3 months
kgarg8/Travello-NLP_P3

Nov 2020 - Sep 2021

Contributions:20 commits, 3 PRs, 20 pushes in 10 months
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