Soumajyoti Sarkar
Applied Scientist at Amazon
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolSoumajyoti Sarkar is an Applied Scientist with a decade of experience building and scaling large language models and pretraining systems, currently working on LLM pretraining science at Amazon AGI in San Francisco. He holds a PhD from Arizona State University and has driven model architecture, training optimization, and sparsity-enabled efficiency efforts for Amazon Nova and Titan-class models. Earlier roles at AWS, Twitter, A9 and research labs show a consistent focus on distributed ML, search relevance, and latency-optimized transformer designs. Soumajyoti blends deep research with production impact—shipping high-QPS neural ranking systems and contributing to co-design work that ties scaling laws to hardware constraints. Beyond corporate research, he maintains a technical portfolio and personal site showcasing his work and reproducible research.
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 Arizona State UniversityBachelor of Engineering (B.E.) Computer Science, Bachelor of Engineering (B.E.) Computer Science at Indian Institute of Engineering Science and Technology (IIEST), Shibpur
Github Skills (59)
mixture-of-experts9
neo4j9
cypher9
compression9
rmarkdown8
optimization8
huggingface-datasets8
gpu8
directed-acyclic-graph8
inference8
machine-learning8
graphstream8
graph8
rstudio8
hugo-theme8
Programming languages (4)
Github contributions (5)
SOUMAJYOTI/ToPMine-DarkWeb
Jan 2017 - Mar 2017
Contributions:6 commits, 4 pushes, 1 branch in 2 months
SOUMAJYOTI/Hacker_Social_Networks
Jul 2017 - Aug 2018
Contributions:85 commits, 10 pushes in 1 year
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