Yuchen Hui is an AI-focused software engineer and teaching assistant based in Montreal with four years of practical experience bridging research and industry. Currently pursuing advanced studies at Université de Montréal, he has supported large undergraduate CS curricula while lecturing and grading for introductory programming using Python. His applied ML experience includes a Desjardins internship building predictive models for ATM outages (LSTM/Transformer and Azure deployment) and research work at Mila contributing to a 2M-pair audio-text dataset and CLAP multimodal model repositories. He also explored byte-level semantic communication during a short research stint at Ericsson, reflecting an interest in low-level representation for information access. Comfortable moving models from data collection through cloud integration, Yuchen combines hands-on engineering with academic curiosity about the future of information access.
4 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Université de Montréal
Physics and Chemistry Orientation, Physics and Chemistry Orientation at Jinling High School
Contributions:4 reviews, 123 commits, 32 PRs in 7 months
trainingdatasetclapaudio
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Yuchen Hui - Teaching Assistant at Université de Montréal