Pratik Gujjar is a machine learning engineer with 10 years of experience, currently applying research-driven computer vision and ML expertise at Stripe after senior roles at SceneBox and Huawei Canada. He holds an M.S. in Autonomous Systems from Simon Fraser University and has a strong research background from the Autonomy Lab, bridging academic rigor with production ML systems. Pratik’s career spans research, engineering and product-focused roles—from wearable communications prototypes at Avaya to scalable vision models in industry—demonstrating an ability to move ideas from prototype to deployed service. Based in Greater Vancouver, he pairs technical depth in computational vision with interests in public administration and a side habit of playing guitar, reflecting a blend of analytical curiosity and creative perspective.
10 years of coding experience
7 years of employment as a software developer
Master of Science (M.S.) by Thesis Work, Autonomous Systems, Master of Science (M.S.) by Thesis Work, Autonomous Systems at Simon Fraser University
Bachelor of Technology (B.Tech.), Electrical, Electronics and Communications Engineering, Bachelor of Technology (B.Tech.), Electrical, Electronics and Communications Engineering at National Institute of Technology Karnataka
Contributions:11 commits, 10 pushes, 1 branch in 4 months
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Pratik Gujjar - Software Engineer, Machine Learning at Stripe