Chandrayee Basu is an applied scientist with 13 years of multidisciplinary experience at the intersection of NLP, preference learning, and AI-assisted scientific discovery, currently working on applied ML at Amazon. She brings deep research credentials from Stanford and Cornell—where she personalized LLMs and built an AI-powered reading assistant for interdisciplinary medical research—and a PhD in EECS from UC Merced. Her background spans human-robot interaction, active learning, GAN-based synthesis of rare events, and recommender systems, reflecting a strong track record of turning research ideas into practical models and tools. Based in Milpitas, CA, she blends academic rigor with product-minded engineering and a penchant for value alignment problems that make AI systems more useful and human-centered.
13 years of coding experience
7 years of employment as a software developer
Master's Degree Architectural and Building Sciences/Technology, Master's Degree Architectural and Building Sciences/Technology at University of California, Berkeley
Bachelor of Architecture (B.Arch.) Architecture, Bachelor of Architecture (B.Arch.) Architecture at Jadavpur University
Carnegie Mellon University
Indian Institute of Technology Madras
Doctor of Philosophy - PhD EECS, Doctor of Philosophy - PhD EECS at University of California, Merced
Contributions:4 PRs, 16 pushes, 2 branches in 3 months
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