Shashank Rajput
Research Scientist at Meta
United States
Summary
🤩
Rockstar🎓
Top SchoolShashank Rajput is a research scientist with a strong ML research-to-production trajectory, holding a PhD from University of Wisconsin–Madison and experience across top labs and companies including Meta, Databricks Mosaic Research, Google Brain, and Microsoft. Over the past several years he has focused on generative and transformer-based recommender systems—during a Google Brain internship he developed a novel transformer generative recommender that outperformed state-of-the-art baselines. He combines deep academic training and postdoctoral research with practical applied-science roles that span prototyping and moving models toward production at scale. Based in the United States, he brings a research-first mindset to applied problems and a track record of delivering measurable model improvements in industry settings. An understated strength is his continuity across academia and industry, enabling him to translate cutting-edge research into deployable systems quickly.
2 years of coding experience
9 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 (B.Tech.) Computer Science, Bachelor of Technology (B.Tech.) Computer Science at Indian Institute of Technology, Kharagpur
Github Skills (19)
transformers10
pytorch10
language-model10
python10
machine-learning10
seq2seq10
llm10
deep-learning10
tensorflow10
bert10
natural-language-processing10
transformer10
speech-recognition10
nlp10
jax10
Programming languages (1)
Github contributions (5)
ShashankMosaicML/llm-foundry
Oct 2023 - Jan 2025
LLM training code for MosaicML foundation models
Contributions:27 PRs, 667 pushes, 82 branches in 1 year 4 months
ShashankMosaicML/RULER
Jun 2024 - Sep 2024
This repo contains the source code for RULER: What’s the Real Context Size of Your Long-Context Language Models?
Contributions:2 PRs, 55 pushes, 5 branches in 2 months
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