Ankit Kothari
Senior Data Scientist
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolAnkit Kothari is a Senior Data Scientist at The Home Depot who builds production-grade recommendation and GenAI systems that drive measurable revenue—most notably a “Buy It Again” recommender for 65M+ users that generated $172M in incremental revenue. He specializes in closing the gap between PoC and production through scalable ML pipelines, distributed LLM infrastructure, and Vertex AI-driven deployment patterns, while mentoring teams on real-time rankers and model distillation. With dual master’s degrees in Machine Learning and Industrial Engineering and 7+ years of practitioner experience, he blends rigorous engineering with operational process improvements rooted in prior manufacturing and utilities roles. Less obvious: he pairs large-scale personalization work with hands-on optimization of throughput and RPS for LLM services, enabling enterprise-grade GenAI features that support store associates as well as customers.
7 years of coding experience
10 years of employment as a software developer
Master's degree, Industrial Engineering, Master's degree, Industrial Engineering at North Carolina State UniversityBachelor of Technology (B.Tech.), Mechanical Engineering, 8.34, Bachelor of Technology (B.Tech.), Mechanical Engineering, 8.34 at Vellore Institute of TechnologyMaster's degree, Machine Learning, 3.9, Master's degree, Machine Learning, 3.9 at University of Maryland
Github Skills (35)
python9
machine-learning9
dataframes9
gpu9
rust8
deep-learning8
numpy8
dataframe8
neural-network8
tensor7
polars7
gpu-acceleration7
mysql-database7
autograd6
jenkins5
Programming languages (4)
Github contributions (5)
ankit-kothari/Data-Science-Journey
Sep 2020 - Oct 2025
Contributions:12 PRs, 356 pushes, 14 branches in 5 years 2 months
unixtopic-modelingnatural-language-processingstatsmodelsjenkins
ankit-kothari/optimizing_large_datasets
Aug 2020 - Jul 2025
Optimizing Large Datasets
Contributions:8 PRs, 48 pushes, 9 branches in 4 years 11 months
data-preprocessingmachine-learningcross-validationdatasetsoptimizing
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