Soumya Sanyal

Applied Scientist at Amazon Web Services (AWS)

California, United States
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Summary

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Senior
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Top School
Soumya Sanyal is an Applied Scientist at Amazon Web Services, focused on building safety solutions for large language models within the Bedrock Guardrails team. He earned a PhD from the University of Southern California, where his research on explanation-based learning, robust reasoning, and safe AI directly informs his work on redaction and agentic AI safety. His career blends rigorous research with high-stakes production systems, from Goldman Sachs building risk infrastructure to internships at Microsoft Research and roles at IISc and USC. Based in California, Soumya is passionate about translating cutting-edge AI safety research into scalable, real-world products. With over a decade of experience spanning academia and industry, he bridges theory and deployment to make AI systems more reliable, explainable, and safe.
code10 years of coding experience
job2 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Southern California
bookSenior Secondary, 91%, Senior Secondary, 91% at DAV Public School
bookBachelor of Technology (B.Tech.), Electrical, Electronics and Communications Engineering, Bachelor of Technology (B.Tech.), Electrical, Electronics and Communications Engineering at IIT Kharagpur
languagesEnglish, Hindi, Bengali, German
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Github Skills (86)

graph-representation-learning10
nlp9
python9
deep-learning9
graph-convolutional-networks9
neural-machine-translation9
pytorch9
gpt-29
graphneuralnetwork9
graph9
natural-language-processing9
nvidia9
transformer8
speech-recognition8
jekyll-theme8

Programming languages (6)

CSSC++SCSSHTMLJupyter NotebookPython

Github contributions (5)

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Homepage
Contributions:6 PRs, 81 pushes, 5 branches in 4 years 10 months
malllabiisc/ProteinGCN

Apr 2020 - Oct 2020

ProteinGCN: Protein model quality assessment using Graph Convolutional Networks
Contributions:17 commits, 3 PRs, 15 pushes in 6 months
pytorchgraph-convolutional-networksgeometric-deep-learningdeep-learningconvolutional
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