Suman Banerjee
Applied Scientist II at Amazon
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolSuman Banerjee is an Applied Scientist II with nine years of experience building and deploying production-grade ML and NLP systems, now working on LLMs and generative AI at Amazon. He holds an M.S. by Research from IIT Madras, where his work on graph neural networks, memory networks and multilingual dialogue systems translated into peer-reviewed publications and industry-relevant techniques. Suman specializes in fine-tuning, alignment, long-context processing, agentic systems, summarization and knowledge extraction, with a track record of moving research prototypes into scalable e-commerce solutions. He complements deep technical expertise with mentorship and cross-functional leadership, having guided junior scientists and forged academic–industry collaborations. Colocated in Bengaluru, he blends research rigor with pragmatic engineering to deliver safe, high-impact AI products.
9 years of coding experience
Indian Institute of Technology MadrasMaster of Science (M.Sc.), Master of Science (M.Sc.) at Banaras Hindu UniversityBachelor of Science (B.Sc.), Bachelor of Science (B.Sc.) at University of Calcutta
Hindi, Bengali, English
Github Skills (12)
sequential9
dialogue-systems8
graph6
deep-learning5
pytorch5
machine-learning3
natural-language-processing3
seq2seq2
reduction2
nlp2
arabic-nlp1
transformer-architecture1
Programming languages (1)
Github contributions (5)
sumanbanerjee1/GCN-SeA
Jun 2019 - Nov 2019
Repository for the TACL 2019 paper: "Graph Convolutional Network with Sequential Attention For Goal-Oriented Dialogue Systems"
Contributions:28 commits, 27 pushes, 1 branch in 5 months
pytorchgoaldeep-learningconvolutionaldialogue-systems
sumanbanerjee1/Ensemble_methods
Jun 2018 - Oct 2018
Contributions:9 commits, 8 pushes, 1 branch in 4 months
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