Kartik Sreenivasan
Research Scientist at Databricks Mosaic Research
Mountain View, California, United States
Summary
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Senior🎓
Top SchoolKartik Sreenivasan is a research scientist focused on large-scale machine learning, optimization, and the practical challenges of deploying models at scale, currently contributing to Databricks Mosaic Research while finishing a PhD at UW–Madison. He brings a decade of industry and academic experience spanning adversarial robustness, federated learning, contrastive learning, and recent work on understanding large language models. At Adobe he built mathematical models and bidding optimizers for search ad portfolios, combining statistical rigor with production-minded engineering for sparse, high-volume data. His internships at MosaicML and KRAFTON highlight hands-on work in instruction fine-tuning, tokenization, and multi-modal contrastive methods, including a published proof connecting mini-batch and full-batch contrastive optimization. A fast learner and rapid prototyper, he pairs deep theoretical insight with practical systems experience, and graduated as a gold medalist from NITK.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Wisconsin-MadisonBachelor of Technology (BTech), Information Technology, Bachelor of Technology (BTech), Information Technology at National Institute of Technology Karnataka
English, Tamil, Kannada, Hindi
Stackoverflow
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0reached
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Github Skills (36)
openai-api10
api-documentation10
api10
nlp10
chatgpt9
pytorch9
llm9
deep-learning9
boo8
javscript7
machine-learning7
assembly6
neural-network5
explore5
tensorflow5
Programming languages (3)
Github contributions (5)
ksreenivasan/llm-foundry
May 2023 - Mar 2024
LLM training code for MosaicML foundation models
Contributions:81 pushes, 8 branches in 9 months
ksreenivasan/pruning_is_enough
Mar 2021 - Sep 2022
Contributions:607 commits in 1 year 5 months
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