Quan Tran
Machine Learning Infrastructure Engineer at Apple
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolQuan Tran is a Machine Learning Infrastructure Engineer with 11 years of software engineering experience, currently building ML infrastructure at Apple from his base in San Diego. He brings a full-stack background—spanning web, ETL, feature stores, and deployment pipelines—gained through roles at Blizzard Entertainment, Publicis Sapient, and startups where he shipped production systems under tight timelines. At Publicis he eliminated analytics tech debt and designed a custom feature store that accelerated ML deployments for a major automotive client, showing a knack for translating product needs into scalable data architecture. Early work ranges from Django/React ingestion pipelines to Shopify storefronts and AWS-hosted 3D rendering services, reflecting practical versatility across stack and cloud. Comfortable in large-company CI/CD environments and fast-moving startup teams alike, he pairs meticulous engineering (100% test coverage experience) with pragmatic product focus. Colleagues would peg him as a curious “computer nerd” who prefers solving end-to-end problems that make models and dashboards reliably usable in production.
11 years of coding experience
6 years of employment as a software developer
California Polytechnic State University, San Luis Obispo
English, Vietnamese
Github Skills (42)
sublimelinter8
borrow7
dv3606
logger6
google-analytics6
eslint5
python5
django5
linter4
scheduler4
markov4
haiku4
lint4
logging4
authentication4
Programming languages (4)
Github contributions (5)
quan/quan.github.io
Jun 2017 - Feb 2022
Light personal webpage
Contributions:10 PRs, 50 pushes, 16 branches in 4 years 8 months
personal-webpagelightwebpage
Joes-Minions/wayfare-api
Sep 2018 - Dec 2018
Flask-RESTful API for the our long-distance rideshare app.
Contributions:72 commits, 4 pushes, 2 branches in 2 months
apipythonrestfulflaskrideshare
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