Summary
Atin Ghosh is a Senior AI Scientist with a PhD in Statistics from NUS and nearly a decade of applied deep learning and ML experience across industry and academia. He leads a generative AI evaluation team at SAP after driving production-ready transformer models at AWS that cut error rates and human review inquiries while delivering 10x faster inference for cashier-less stores. His research on semi/self-supervised learning for vision and NLP has been published at ICLR, ACL and ICPR, and his work bridges principled Bayesian and variational methods with practical deployments in healthcare, e-commerce forecasting and autonomous driving. Comfortable across Python, PyTorch, TensorFlow, OpenCV and AWS, he combines rigorous academic foundations with a track record of improving real-world systems and optimizing model evaluation and routing for large-scale generative AI.
9 years of coding experience
6 years of employment as a software developer
M.Stat Statistics, M.Stat Statistics at Indian Statistical Institute, Kolkata
Doctor of Philosophy - PhD Mathematics and Statistics, Doctor of Philosophy - PhD Mathematics and Statistics at National University of Singapore
Bengali, Hindi, English