Summary
Debjyoti Paul is an Applied Scientist with 12 years of experience building ML and NLP solutions, currently focused on personalized recommender systems that help Amazon selling partners grow and sustain their businesses. His work spans deep learning, causal modeling, A/B testing, and real-time anomaly detection, with production experience in ads fraud detection and moderation using text and vision models. A Ph.D. graduate from the University of Utah and IIT Kanpur alumnus, he combines rigorous research background with hands-on engineering at scale from roles at Amazon and Microsoft. He has experimented with LLM-driven data and label augmentation to improve model robustness, reflecting a pragmatic blend of state-of-the-art research and business metrics. Based in the United States, he also volunteers as a mental health advocate and tech advisor, showing an interest in applying tech for social impact.
12 years of coding experience
6 years of employment as a software developer
Secondary and Higher Secondary Science, Secondary and Higher Secondary Science at Nava Nalanda High School
Master of Technology (M.Tech.) Computer Science, Master of Technology (M.Tech.) Computer Science at Cybersecurity
Bachelor of Technology (BTech) Electrical and Electronics Engineering, Bachelor of Technology (BTech) Electrical and Electronics Engineering at Meghnad Saha Institute Of Technology(MSIT)