Nitesh Sekhar
Senior Applied Scientist Amazon AGI
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolNitesh Sekhar is a Senior Applied Scientist at Amazon AGI with 11 years of experience building and shipping large-scale multimodal AI systems, specializing in foundation models, multimodal embeddings, and 3D computer vision. As a founding member of the scaling methodology team, he helped discover scaling laws and drove development of Nova models and Amazon’s unified multimodal embedding that supports text, images, video, audio and documents. He combines deep research chops from UCSD and IIT Kharagpur with pragmatic engineering—designing memory-efficient architectures (e.g., hybrid-octree U-Nets) and production-ready Vision Transformer pipelines for high-resolution multimodal LLMs. Known as a fast, clear communicator and mentor, he operates at the intersection of research, engineering, and strategy to define technical direction and ship impactful cross-functional products. Based in Seattle, he brings a rare blend of academic rigor and production-first execution that accelerates putting cutting-edge multimodal research into real-world systems.
10 years of coding experience
7 years of employment as a software developer
University of California, San DiegoBachelor of Technology (B.Tech.) Computer Science, Bachelor of Technology (B.Tech.) Computer Science at Indian Institute of Technology, KharagpurIntermediate Board Of Education, Intermediate Board Of Education at Fiitjee
Tamil, English, Hindi, Telugu
Github Skills (16)
representations8
octree8
classification7
hierarchical7
autoencoder7
pointnet7
resolutions7
segmentation6
python5
point-cloud5
deep-learning5
computer-vision4
pytorch4
3d4
svn1
Programming languages (2)
Github contributions (5)
nitesh1813/deeplearnings
Mar 2017 - Mar 2017
Contributions:13 pushes, 1 branch in 1 day
siddu9501/WPGCycleGAN
Mar 2018 - Mar 2018
Contributions:10 pushes, 1 branch in 1 day
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