Hong Yue
Machine Learning Engineer at ODAIA
Burnaby, British Columbia, Canada
Summary
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Rockstar🎓
Top SchoolHong Yue is a Machine Learning Engineer with seven years of experience building production-grade ML and data pipelines, currently focused on generative AI and tooling at ODAIA. He has a strong background in deploying models and cloud infrastructure, from managing GCP-hosted VAEs to shipping PyTorch experiments that explore structured latent generation for 2D-to-3D conversion. At Atomic Cartoons he scaled telemetry and compute monitoring systems (100k+ vCPUs), built FAISS-based semantic search for faster bug triage, and optimized CI runtimes and data ingestion at multi-terabyte growth rates. Hong pairs research-first instincts—authoring a TensorFlow package and contributing to an open-source Coupled-VAE repo—with practical engineering skills in Python, PostgreSQL, and containerized pipelines. Based in Burnaby, BC, he balances rigorous technical work with interests in tennis, powerlifting and drumming, which reflect a data-driven yet creative problem-solving style.
7 years of coding experience
5 years of employment as a software developer
Bachelor of Commerce (Honours) Econometrics, Bachelor of Commerce (Honours) Econometrics at Monash University
Github Skills (35)
data-analysis10
python10
data-science10
scikit10
statistics10
open-source10
prophet10
machine-learning10
trend10
forecasting10
neural10
scikit-learn10
prediction10
forecast10
artificial-intelligence9
Programming languages (5)
Github contributions (5)
hxyue1/neural_prophet
Apr 2023 - Jul 2023
NeuralProphet: A simple forecasting package
Contributions:19 pushes, 5 branches in 3 months
hxyue1/tennisML
Apr 2020 - Oct 2020
A collection of functions and tools to help users wrangle and transform match level tennis data for easy Machine Learning usage.
Contributions:7 PRs, 15 pushes, 3 branches in 6 months
wrangletennistransformmachine-learningmatch
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