Rohan Bhatia is a data scientist with nine years of experience bridging research and applied AI, currently focused on model adoption for Microsoft Copilot Studio. He holds an MS in Data Science from USC and a B.Tech in Engineering Physics with a minor in AI/ML, and has co-authored four peer-reviewed papers spanning quantum machine learning, NLP, and sensor simulation. Rohan has built graph convolutional networks, hybrid optimization algorithms, and multimodal RAG systems that outperformed existing Azure tools during his Copilot Studio internship. Comfortable moving ideas from notebooks to prototypes, he has developed no-code platforms for researchers and large-scale indexing pipelines for video, audio, image, and text. Outside engineering, he channels creativity into filmmaking and music—experience that informs his knack for designing human-centered ML experiments.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at University of Southern California
Bachelor of Technology - BTech Engineering Physics (Minor in Artificial Intelligence & Machine Learning), Bachelor of Technology - BTech Engineering Physics (Minor in Artificial Intelligence & Machine Learning) at Delhi Technological University (Formerly DCE)
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Contributions:6 PRs, 144 pushes, 2 branches in 3 years 11 months
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