Zihui Ouyang
Digital Innovation Associate
Vancouver, British Columbia, Canada
Summary
🤩
Rockstar🎓
Top SchoolZihui Ouyang is a data-focused machine learning practitioner and Digital Innovation Associate with seven years of experience building applied models across NLP, computer vision, and analytics. With an MA in Statistics from Columbia and a strong Python/R toolkit (TensorFlow, PyTorch, scikit-learn, Hugging Face), Zihui has shipped solutions from surgical phase recognition to camera-fault detection algorithms achieving >90% accuracy. Currently combining roles at HSBC, freelance NLP projects, and open-source contributions at naas.ai, they bridge research-quality modeling with production-minded tooling like Dash interactive charts and LLM prompt design. Comfortable working with large datasets and end-to-end ML stacks, Zihui is driven by practical impact across sectors and a continual appetite for tackling novel, cross-disciplinary challenges.
7 years of coding experience
Bachelors, Statistics, Bachelors, Statistics at The University of British ColumbiaMaster of Arts - MA, Statistics, Master of Arts - MA, Statistics at Columbia University
English, Chinese
Github Skills (42)
jupyter10
jupyterlab10
jumpstart10
binder10
jupyter-notebook10
python9
databases9
data-cleaning9
database8
science8
gpt4all8
agi8
ai8
solace8
machine-learning8
Programming languages (5)
Github contributions (5)
UBC-Stat-ML/JSSBlangCode
May 2020 - May 2023
Code for reproducing figures and results
Contributions:4 PRs, 2 comments in 3 years
bioinformaticsfiguresgenomics
makingsurgeon/JSSBlangCode
May 2020 - May 2023
Code for reproducing figures and results
Contributions:4 pushes, 4 branches in 3 years
bioinformaticsfiguresgenomics
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.