Summary
Kushal Hebbar is an Enterprise Data Scientist with 10 years of experience building production-grade AI and machine vision systems, currently leading GenAI and AI strategy for BMW across the Americas. He combines hands-on engineering—deploying AutoML, RAG pipelines, and edge inference on devices like Nvidia Jetson—with enterprise enablement, having founded an AI Champions Program and led an Americas AI Center of Excellence. His work has delivered measurable impact (over $50M in annual value during the Americas AI Accelerator) by translating complex ML models into scalable, integrated solutions across manufacturing, supply chain, and aftersales. A Clemson MS in Computer Science with specialization in data science, he balances research-minded curiosity with pragmatic delivery and mentorship of distributed teams. Notably, he bridges edge AI for real-time quality inspection with cloud-scale AutoML and data pipelines, making him comfortable across the full ML lifecycle from data engineering to deployment. He stays actively engaged with emerging tools and collaborates across functions to turn novel AI concepts into operational value.
10 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Clemson University
High School, Science, High School, Science at St' Pauls English School
PUC, XI-XII,Science, PUC, XI-XII,Science at Jain university,Bangalore
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at BNM Institute Of Technology
English, Kannada, Hindi