Summary
Junchen Liu is a driven engineer specializing in deep learning and computer vision with three years of hands-on experience bridging research and product development. Currently a PhD student at the University of Toronto and Vector Institute affiliate, he combines strong mathematical foundations in linear algebra and probability with practical skills in Python, C++, MATLAB, TensorFlow, PyTorch and OpenCV. His background spans applied R&D—from optimizing wireless power transfer using convex optimization to developing LED grow-light products with PPFD modeling and 3D lighting simulations—demonstrating an ability to move ideas from simulation to factory and field. Junchen is a self-starter who excels at feature engineering, model selection, and experimental design, and he brings domain fluency in image processing gained from both academic projects and industry roles. Comfortable with both research code and production constraints, he offers a rare mix of theoretical rigor and hands-on product engineering in ML-driven vision systems.
3 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE, Electrical and Electronics Engineering, 3.56/4.00, Bachelor of Engineering - BE, Electrical and Electronics Engineering, 3.56/4.00 at Beihang University
Master's degree, Electrical and Electronics Engineering, 3.56/4.00, Master's degree, Electrical and Electronics Engineering, 3.56/4.00 at University of Toronto
Chinese, English