Angran Li

Angran Li is a skilled machine learning professional with a diverse background in research and engineering. With experience as a Machine Learning Researcher Intern at Epson Canada, Li developed reinforcement learning environments and automatic calibration algorithms. As a Machine Learning Engineer at Xtract AI, a leading role was taken in evaluating weapon detection systems, while participation in developing proprietary machine learning training tools demonstrated proficiency in frameworks like PyTorch and OpenCV. Further expertise includes a Research Assistant position at UCL, where Li proposed an innovative Two-Step A* algorithm for UAV systems, and a current Software Engineer role at Meta, focusing on machine learning platform development. Additional experiences include a Software Development Engineer role at Amazon Web Services, a Machine Learning Engineer position at OnDeck Fisheries AI, and a Teaching Assistantship at the University of Toronto. Li holds a Master of Science degree in Computer Science from the University of Toronto.