Divyansh Kaushik
Vice President at Krach Institute for Tech Diplomacy at Purdue
Washington, District of Columbia, United States
Summary
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Senior🎓
Top SchoolDivyansh Kaushik is a Vice President at Beacon Global Strategies who combines deep technical expertise in AI with practical experience shaping national security and technology policy. He earned a Ph.D. and M.S. from Carnegie Mellon’s Language Technologies Institute, where his machine learning research received wide citation and academic awards, and transitioned from graduate research to influential policy roles supporting Congress and the administration. At the Federation of American Scientists he led work on AI R&D strategy, standards development, and research security, translating complex technical risks into actionable policy recommendations. His background includes applied research stints at AWS, Facebook AI, and Salesforce, giving him firsthand experience bridging cutting-edge ML research and industry deployment. Based in Washington, D.C., he also serves on the Krach Institute’s advisory council and as a Senior Fellow at American Policy Ventures, uniquely blending scholarly rigor with policy impact. A less obvious strength is his proven ability to move between lab-scale research and high-stakes policy advising, making him effective at both technical critique and strategic implementation.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (B.E.) Computer Science, Bachelor of Engineering (B.E.) Computer Science at Thapar Institute of Engineering & TechnologyDoctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at Carnegie Mellon University
French, Punjabi, Hindi, English
Github Skills (32)
pytorch10
python10
machine-learning10
deep-learning10
natural-language-processing10
transformer10
speech-recognition10
nlp10
robotics9
transformers9
alarm9
statistics9
language-model9
bert9
tensorflow9
Programming languages (4)
Github contributions (5)
acmi-lab/counterfactually-augmented-data
Sep 2019 - Apr 2021
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
Contributions:9 commits, 1 PR, 10 pushes in 1 year 7 months
augmentedmachine-learning
humaneval-workshop/humaneval-workshop.github.io
Jun 2022 - Aug 2022
Contributions:41 pushes, 1 branch in 2 months
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