Shantanu Chandra is a Principal AI Scientist with 8 years of experience building applied AI systems that bridge research and production across healthcare, supply chain, and revenue management. He holds a cum laude Master's in Artificial Intelligence from the University of Amsterdam and has published novel work on Hypergraph Neural Networks, Patient Digital Twins, and Batch Manufacturing Digital Twins in top AI/ML venues. At Oracle he is advancing multi-agent clinical digital assistants to reimagine EHR workflows, and previously led GenAI-driven simulations and optimization efforts at ZS for inventory, yield, and revenue use cases. He combines deep technical expertise in representation learning, generative frameworks, and privacy quantification with hands-on leadership of data science teams. Beyond metrics, he focuses on solutions that produce real-world impact in healthcare and supply chains—an orientation shaped by both industry deployments and academic collaborations with FAIR and Cambridge. Based in Bengaluru, he pairs rigorous research instincts with product-minded execution to move experimental models into operational value.
8 years of coding experience
7 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Master's degree (cum laude), Artificial Intelligence, 8.61 / 10, Master's degree (cum laude), Artificial Intelligence, 8.61 / 10 at University of Amsterdam
Contributions:15 commits, 12 pushes, 1 branch in 1 month
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Shantanu Chandra - Principal AI Scientist at Oracle