Andrew Truong
Machine Learning Engineer at Weights & Biases
Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolAndrew Truong is a Machine Learning Engineer in Toronto with a decade of experience building production-ready ML systems and leading cross-disciplinary teams. He currently contributes to Weights & Biases—working on integrations like Metaflow support and KFP components for a widely used AI developer platform—while also teaching data science and ML as a lead instructor at BrainStation. Previously he led a data science team at TD that delivered short-term pricing models for global markets and launched a high-growth SME product at FundThrough, demonstrating both quantitative rigor and product instincts. Trained in medical biophysics and business (BMSc and HBA), he blends domain-level scientific thinking with practical product and operational experience, often bridging research, engineering, and go-to-market execution.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Medical Sciences, Medical Biophysics and Bioinformatics (BMSc), Bachelor of Medical Sciences, Medical Biophysics and Bioinformatics (BMSc) at Western UniversityBachelor of Arts, Honors in Business Administration (HBA), Bachelor of Arts, Honors in Business Administration (HBA) at Ivey Business School at Western University
Github Skills (20)
python10
machine-learning10
tracks10
mlops10
experiment10
deep-learning9
pytest8
pytorch8
testing8
rep7
cicd7
dockers7
repr7
docker7
data-science6
Programming languages (8)
Github contributions (5)
wandb/wandb
Aug 2021 - Dec 2022
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Role in this project:
ML Engineer & DevOps Engineer
ML Engineer & DevOps EngineerContributions:99 reviews, 52 commits, 115 PRs in 1 year 3 months
Contributions summary:Andrew's commits primarily focus on integrating the Weights & Biases (W&B) platform with Metaflow, a framework for building and managing data science workflows. Their contributions involve creating tests for the Metaflow integration, as well as adding documentation. They also made changes to support a hotfix related to Metaflow version 2.4.0. Furthermore, the user added KFP v1 python-function component support, including a visualization helper for W&B.
pythoncollaborationtensorflowhyperparameter-tuningcli
andrewtruong/andrewtruong.github.io
Oct 2015 - Dec 2015
Contributions:2 PRs, 445 pushes in 1 month
jekylljekyll-theme
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