Summary
Vivswan Shitole is an applied AI researcher and engineer with eight years of experience building computer vision systems and safety-critical embedded software, currently a Graduate Student Researcher at Mila. He has bridged industry and academia, from developing real-time video analytics, face recognition and Kalman-filter based trackers in Mumbai to researching semantic concepts from neural network saliency maps at Oregon State and Mila. Vivswan’s background includes low-level firmware and BLE stack work at Texas Instruments and teaching web development and software engineering, reflecting fluency across embedded, CV, and software engineering domains. He pursued a PhD in computer science and holds an MS from Oregon State, combining rigorous research instincts with practical product-focused execution. A detail that stands out: he pairs classic computer vision algorithms (HOG, HAAR, MOG) with modern deep transfer learning to solve real-world surveillance and ADAS problems.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD (Dropout), Computer Science, Doctor of Philosophy - PhD (Dropout), Computer Science at Université de Montréal
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Oregon State University
Campion School Bhopal
Bachelor of Technology (BTech), Electrical and Electronics Engineering, Bachelor of Technology (BTech), Electrical and Electronics Engineering at National Institute of Technology Karnataka
English, Hindi