Senior Applied Scientist at Amazon Web Services (AWS)
New York, New York, United States
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Summary
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Sagnik Das is a Senior Applied Scientist at Amazon Web Services with a PhD in Computer Science from Stony Brook University and nine years of experience applying research-grade ML to production problems. He progressed from research and teaching roles into applied science internships and full-time positions at AWS, contributing to Rekognition and Textract teams before leading agentic AI efforts. His background spans computer vision, unsupervised action segmentation, and NLP tasks such as text normalization and intent classification, reflecting a strong cross-modal research-to-production skillset. Based in New York, he blends academic rigor with cloud-scale engineering, mentoring students as a former graduate teaching assistant in machine learning and systems. Notably, his GitHub focus on "AWS Agentic AI" suggests active work at the intersection of autonomous agents and cloud services, bridging cutting-edge research with deployable AI systems.
9 years of coding experience
8 years of employment as a software developer
Master of Technology (M.Tech.) Computer Science, Master of Technology (M.Tech.) Computer Science at Indian Institute of Technology (Indian School of Mines), Dhanbad
Bachelor of Technology (B.Tech.) Computer Science, Bachelor of Technology (B.Tech.) Computer Science at West Bengal University of Technology, Kolkata
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Stony Brook University
Blender rendering codes for doc3D-dataset (Paper: https://www3.cs.stonybrook.edu/~cvl/projects/dewarpnet/storage/paper.pdf)
Contributions:16 commits, 1 PR, 15 pushes in 2 years 4 months
blenderpdfdatasetcomputer-graphicsrendering
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