Summary
Rishabh Sharma is a research scientist and AI/ML engineering lead with 11 years of experience building and deploying deep learning solutions across medical imaging, fusion diagnostics, and space applications. He holds a PhD in Computer Science and has driven end-to-end research pipelines—from hypothesis and experimentation to production-ready systems—at Hewlett Packard Enterprise, Siemens Healthineers, and the University of Houston. His work focuses on super-resolution and foundational vision models for MRI/PET and ICF imaging, and he leads an active learning team that has produced 5+ patent filings improving annotation efficiency for detection and segmentation. Notably, he translated clinically-relevant research into a high-accuracy predictor for Alzheimer’s conversion during his Siemens internship and contributed to DOE fusion data platform architecture. Comfortable in PyTorch, MONAI, MLflow/Kubeflow and production engineering, he blends rigorous academic depth with product-minded delivery. An interesting aside: his academic lineage traces back to prominent physicists and early 20th-century pioneers, underscoring a long-standing mentorship heritage.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Houston
Bachelor of Technology (B.Tech.), Computer Science and Engineering, Bachelor of Technology (B.Tech.), Computer Science and Engineering at JECRC University
Full Stack Web Development Certification, Computer Software Engineering, Full Stack Web Development Certification, Computer Software Engineering at freeCodeCamp
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at California State University, Fullerton