Summary
Rinki Nag is a Senior Data Scientist at IBM with a decade of experience building end-to-end generative AI and ML solutions, particularly agentic GenAI products for SAP and large-scale NLP systems. She combines strong software engineering and data engineering skills with hands-on expertise in Python, PySpark, DL frameworks, cloud platforms, and MLOps to take prototypes into production. Her work spans retail, home services, and asset management—delivering measurable business impact such as improved sales, reduced technician visits, and automated pipelines that save teams dozens of hours. An enthusiastic open-source contributor, trainer and former Microsoft Certified Trainer, she also designs and teaches practical AI curricula and mentors aspiring engineers. Notably, she implemented a semantic product search and deployed customer-facing AWS APIs used by millions, reflecting a rare blend of research curiosity and product-focused delivery.
10 years of coding experience
6 years of employment as a software developer
Deep Reinforcement Learning for Enterprise Nanodegree Deep Reinforcement Learning, Deep Reinforcement Learning for Enterprise Nanodegree Deep Reinforcement Learning at Udacity
Goregaon education society english medium school (ICSE ), Goregaon-west
Bachelor of Engineering - BE Electrical Electronics and Communications Engineering, Bachelor of Engineering - BE Electrical Electronics and Communications Engineering at University of Mumbai
HSC Science, HSC Science at Vivek Vidyalaya & Junior College - India
English, Hindi, Marathi, Bengali