Summary
Basanth Kalanoor is a Data Scientist with a decade of experience designing and deploying AI systems that blend reinforcement learning, NLP, and computer vision to solve real-world problems. He has translated a PhD in Physics from IIT Madras and postdoctoral materials-spectroscopy expertise into data-driven solutions across healthcare, traffic prediction, child safety, and sustainable agriculture. At Omdena he led and implemented production-ready recommendation and classification APIs—most notably a reinforcement-learning driven personalized cognitive training recommender and an NLP-based classifier to detect grooming behavior. Now at ZEISS Medical Technology, he applies multi-agent and systems-level AI thinking to medical imaging and diagnostics. Known for bridging deep scientific rigor with practical ML engineering, he often adapts methods from physics and spectroscopy to improve model interpretability and robustness. Based in India, he combines research-grade analytical skills with hands-on deployment experience to move models from prototype to scalable API.
10 years of coding experience
11 years of employment as a software developer
Indian Institute of Technology Madras
Master of Science (M.Sc.) Condensed Matter and Materials Physics, Master of Science (M.Sc.) Condensed Matter and Materials Physics at Karnataka University, Dharwad