Suvodeep Majumder is an applied scientist and Ph.D. candidate in computer science with eight years of experience bridging AI research and production, currently working at AWS after postdoctoral research at Columbia. He specializes in transfer learning, AI fairness, and large-scale socio-technical graph mining, and has built a scalable hierarchical transfer learner and causal-inference-based instance selection methods to reduce bias. Suvodeep has applied semi-supervised fine-tuning of large language models for classification and generative tasks and demonstrated how model scale improves contextual understanding in neural machine translation. His work appears in top venues (FSE, EMSE, ACL) and won the ACM SIGSOFT Distinguished Paper Award, reflecting both theoretical depth and practical impact. Based in the New Jersey–NYC area, he blends rigorous academic training with repeated AWS industry internships and a track record of shipping research-driven systems.
8 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at North Carolina State University
Bachelor of Technology (B.Tech.) Computer Science and Engineering, Bachelor of Technology (B.Tech.) Computer Science and Engineering at Heritage Institute Of Technology-Kolkata
Associate of Science (A.S.) Mathematics and Computer Science, Associate of Science (A.S.) Mathematics and Computer Science at Midnapore Collegiate School
Contributions:32 commits, 27 pushes, 1 branch in 5 months
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Suvodeep Majumder - Applied Scientist at Amazon Web Services (AWS)