Lucas Tran
Director Of AI ML at JPMorganChase
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolLucas Tran is a Director of AI/ML with a decade of experience building large-scale, distributed personalization, ranking, and recommender systems across finance and consumer tech. He leads cross-functional AI initiatives at JPMorgan Chase focused on omnichannel personalization, MLOps/LLMOps, feature platforms and GenAI for commerce and marketing, having previously architected personalization for Apple’s App Store, Music, Video, Podcasts and Books. Trained as a PhD computer scientist, he combines research rigor from A*STAR with production-first engineering at Apple and Meta to bridge experimentation and deployable systems. Known for hands-on senior leadership, he drives platformization and annotation strategies that turn complex model research into scalable, measurable business outcomes. Based in London, he brings a practical bent toward pushing ML from prototypes into mission-critical, regulated environments.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Nanyang Technological University Singapore
Github Skills (13)
pytorch10
python10
data-science9
tensorflow9
machine-learning9
deep-learning9
jax8
neural-network7
docker4
devops3
mlops2
hacking1
methodology1
Programming languages (1)
Github contributions (5)
lucasvinhtran/group-recommender-systems
Apr 2020 - Jan 2021
Contributions:5 commits, 5 pushes, 1 branch in 9 months
lucasvinhtran/nd0821-c2-build-model-workflow-starter
Oct 2021 - Oct 2021
Starter Code for the Course 2 project of the Udacity ML DevOps Nanodegree Program
Contributions:2 releases, 4 PRs, 11 pushes in 1 day
pythonnanodegreeudacitydevopsmlops
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