Summary
Vishwanath Sangale is a machine learning researcher with a decade of experience bridging deep learning, computer vision, robotics, and embedded systems, currently advancing medical image analysis at Meta after building vessel-detection models for CT scans at Heartflow. He holds a PhD in Artificial Intelligence from Stanford and an MSEE from Colorado State, combining rigorous research training with hands-on production engineering. His background spans low-level embedded work—device drivers and bootloaders for smart-card controllers—to state-of-the-art video face recognition and object detection, enabling pragmatic solutions that move from prototype to deployment. An entrepreneurial, award-winning robotics competitor and lab leader (national ROBOCON champion and international representative), he brings a maker’s mentality and strong communication skills to cross-functional teams. Active on Kaggle and GitHub, he pairs competitive problem-solving with reproducible ML practice and a persistent curiosity for novel applications in healthcare imaging.
10 years of coding experience
8 years of employment as a software developer
Master's degree Electrical and Computer Engineering, Master's degree Electrical and Computer Engineering at Colorado State University
Doctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at Stanford University Department of Computer Science
Bachelor of Engineering (B.E.) Electrical Electronics and Communications Engineering, Bachelor of Engineering (B.E.) Electrical Electronics and Communications Engineering at Maharashtra Institute of Technology