Harsh Shrivastava
Director, AI Engineering at Capital One
Gurugram, Haryana, United States
Summary
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Senior🎓
Top SchoolHarsh Shrivastava is a Director of AI Engineering with a PhD in Machine Learning from Georgia Tech and eight years of experience translating graph-based research into revenue-generating enterprise AI products. He invented multiple novel architectures—Graph Foundation Models for drug discovery, Generative Kaleidoscopic Networks, Neural Graphical Models, and sparse-graph recovery methods (GLAD, GRNUlar)—and has 25+ publications and 40+ US patents to his name. At SandboxAQ he led cross-disciplinary teams to build one of the largest knowledge graphs for drug discovery and co-designed NGS pipelines for vaccine cargo prediction, applying probabilistic graph simulations for counterfactual reasoning. Previously at Microsoft Research he shipped graph and probabilistic models into production across pharma, healthcare, and energy customers, while leading client engagements and custom model pipelines. Now based in Gurugram and leading AI engineering at Capital One, he combines deep theory with product-minded engineering to deliver scalable, production-ready AI. Outside work he writes fiction and poetry, an unexpected creative outlet that complements his technical inventiveness.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Georgia Institute of TechnologyBachelor of Technology (B.Tech.), Master of Technology(M.Tech), Electronics and Electrical Communications Engineering, Bachelor of Technology (B.Tech.), Master of Technology(M.Tech), Electronics and Electrical Communications Engineering at Indian Institute of Technology, Kharagpur
English, Hindi
Github Skills (53)
javascript10
css10
nodejs10
react10
python9
math9
machine-learning9
codebase9
deep-learning9
ray8
optimization8
reinforcement-learning8
tensorflow8
certification8
parallel8
Programming languages (6)
Github contributions (5)
HarshVardhanSh/Deep-Learning-in-Computer-vision-projects-
May 2018 - Aug 2018
Contributions:19 commits, 17 pushes, 1 branch in 2 months
HarshVardhanSh/Pandas-in-Action-Movies-Data-Analysis
Jan 2018 - Oct 2018
Download the Dataset Please note that **you will need to download the dataset**. Here are the links to the data source and location: * **Data Source:** MovieLens web site (filename: ml-20m.zip) * **Location:** https://grouplens.org/datasets/movielens/
Contributions:2 PRs, 5 pushes, 2 branches in 9 months
data-sourceweb-sitemovielensdatasetzip
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