Quan Dang
Founder at Full Stack Data Science
United Kingdom
Summary
👤
Senior🎓
Top SchoolQuan Dang is a founder and machine learning engineer with nine years of experience bridging academic research and industry delivery across computer vision, forecasting, recommender systems, and MLOps. He has led ML architecture and production deployments for financial services and e-commerce, built knowledge graphs and LLM-based resume recommenders, and implemented multilingual information-extraction pipelines and anomaly detection systems. Comfortable from research (novel kernel autoencoders and evolutionary optimizers) to hands-on MLOps on GCP, he also trains practitioners through Full Stack Data Science. Based in the UK, Quan blends deep technical curiosity with product-focused execution and a track record of shipping end-to-end ML solutions in both startups and enterprise settings.
9 years of coding experience
7 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at The University of AizuComputer Science, Computer Science at Hanoi University of Science and TechnologyExchange Program: Natural sciences and social sciences, Exchange Program: Natural sciences and social sciences at Keio University
English, Vietnamese
Github Skills (20)
pipeline9
kubeflow-pipelines9
tekton8
kedro8
machine-learning8
kubeflow8
kubernetes8
data-science8
mlops7
computer-vision7
python6
mlops-workflow5
kernel5
jupyterlab5
jupyter4
Programming languages (7)
Github contributions (5)
MLOpsVN/mlops-crash-course-code
Sep 2022 - Dec 2022
Contributions:76 commits, 13 PRs, 59 pushes in 3 months
quan-dang/Computer-Vision-and-OpenCV-projects
May 2019 - Jun 2019
Projects using Computer Vision and OpenCV
Contributions:32 commits, 29 pushes, 1 branch in 18 days
pythoncomputer-visionvision
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