Sumegh Roychowdhury is an applied scientist with 8 years of experience building search and NLP solutions, currently focused on search query understanding at Amazon. He has progressed through multiple applied scientist roles and internships at Amazon, ShareChat, Adobe, and robotics labs, combining production search quality work with research in hate-speech detection and robotics. His research contributions include a large-scale 150k Indic abuse dataset published at NeurIPS Datasets and an EACL paper on probing/prompting for hate detection, plus ICRA and ICPR conference papers from robotics and media research. Trained at IIT Kharagpur in a dual BTech+MTech program, he brings a rare mix of large-scale applied ML for e-commerce and hands-on research in language and embodied AI. An under-the-radar strength is his history of cross-domain internships and competitive robotics work, showing an ability to translate novel research into practical systems.
8 years of coding experience
7 years of employment as a software developer
Btech + Mtech (Dual), Electronics and Communications Engineering, Computer Science and Engg., Btech + Mtech (Dual), Electronics and Communications Engineering, Computer Science and Engg. at Indian Institute of Technology, Kharagpur
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Sumegh Roychowdhury - Applied Scientist - 2 at Amazon