Ngoc Tran
Principal Data Scientist (AI ML)
Dublin, Ireland
Summary
🤩
Rockstar🎓
Top SchoolNgoc Tran is a Principal Data Scientist based in Dublin with 15+ years of AI/ML experience and a PhD in Computer Science from Leiden University. Currently leading GenAI and LLM initiatives at Mastercard, she combines director-level product impact with deep research expertise cultivated as a staff engineer at IBM Research where she worked on AI security, AutoAI and federated learning. Her background spans startup and enterprise environments, including AI and big data work in Silicon Valley and contributions to high-profile open-source tooling such as the Adversarial Robustness Toolbox. Known for bridging fundamental research and production systems, she frequently translates security-aware ML innovations into robust backend implementations. Her academic track record and public CVs underscore a consistent focus on trustworthy, deployable AI rather than purely theoretical work.
9 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Leiden University
English
Github Skills (6)
pytorch10
machine-learning10
tensorflow10
python10
code-documentation9
adversarial-attacks9
Programming languages (1)
Github contributions (5)
Trusted-AI/adversarial-robustness-toolbox
Feb 2018 - Oct 2021
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:167 reviews, 1338 commits, 51 PRs in 3 years 8 months
Contributions summary:Ngoc contributed to various modules related to classifiers, specifically updating code in several Python files for PyTorch, Scikit-learn, and TensorFlow. These changes included the application of preprocessing and postprocessing steps within the classifiers and adding functionality to apply these steps to various types of models. The user also updated documentation and addressed comments from reviewers to improve code clarity and robustness. These contributions improve the functionality of the model in the repo.
extractionpythonfairness-mlrobustnessadversarial-machine-learning
minhitbk/data-science
Jun 2016 - Mar 2025
Contributions:24 pushes, 1 branch in 8 years 9 months
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.