Vishnu Subramanian is an AI Engineer with 11 years of experience building and productionizing generative AI and ML solutions across enterprise and education sectors from Mumbai. At Accenture he designs and deploys LLM-based RAG systems—such as a GraphRAG Code Impact Analysis tool for COBOL modernization and a Banking knowledge chatbot—demonstrating a knack for applying deep learning research to legacy, high-impact domains. Previously he led generative AI productization and academic operations at Great Learning, driving multiple internal LLM products and scaling programs in collaboration with MIT for hundreds of learners. A Fast.ai alumnus and lifelong learner with an MSc in Data Science, he blends hands-on engineering, data pipelines and deployment experience with a research-oriented approach to solve real-world problems. Not obviously typical for an AI engineer, he has practical domain experience in public health data engineering and enterprise price-forecast models, reflecting a broad toolkit beyond conventional ML roles.
11 years of coding experience
6 years of employment as a software developer
Heriot-Watt University Edinburgh Campus
IIT-JEE Prep, IIT-JEE Prep at FIITJEE
Master of Science - MS, International Business, Master of Science - MS, International Business at Hult International Business School
High School Diploma, Science, 93.2%, High School Diploma, Science, 93.2% at The Indian School, Bahrain
B.Tech (Hons.) + M.Tech, Biotechnology & Biochemical Engineering, B.Tech (Hons.) + M.Tech, Biotechnology & Biochemical Engineering at Indian Institute of Technology, Kharagpur
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