James Le - Head Of Developer Experience at Twelve Labs

James Le

Head Of Developer Experience at Twelve Labs

San Francisco, California, United States

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Summary

🤩

Rockstar

🎓

Top School

James Le is Head of Developer Experience at Twelve Labs, bringing a decade of hands-on experience at the intersection of machine learning, developer advocacy, and product. He has driven developer and partner ecosystems at startups like Superb AI and Snorkel, translated research into production-ready courseware at Full Stack Deep Learning, and led data-driven content and technical storytelling across publications and community channels. A former data journalist turned ML researcher, he has implemented and documented core algorithms and interview-focused learning materials—contributions visible in a popular GitHub repo for cracking data science interviews. James blends technical depth (PyTorch/TensorFlow, ML systems, DataOps for vision) with community-first growth strategies, regularly speaking and writing to demystify complex ML workflows. Based in San Francisco, he pairs product instincts and partnership-building with empirical research experience in AI safety and recommendation systems. He also runs a podcast and newsletter, showing a consistent appetite for teaching and synthesizing the bleeding edge of multimodal AI.

10 years of coding experience

5 years of employment as a software developer

Bachelor of Arts (B.A.) Computer Science & Communication, Bachelor of Arts (B.A.) Computer Science & Communication at Denison University

Master of Science - MS Computer Science, Master of Science - MS Computer Science at Rochester Institute of Technology

Study Abroad Program Computer Science, Study Abroad Program Computer Science at DIS - Study Abroad

High School Diploma General Education, High School Diploma General Education at Rabun Gap - Nacoochee School

Vietnamese, English

Github Skills (13)

scikit-learn10

pandas10

machine-learning10

python10

data-science10

numpy10

scikit10

logistic-regression9

pca8

decision-tree8

svm8

linear-models8

k-means-clustering8

Programming languages (5)

RC++Jupyter NotebookMATLABPython

Github contributions (5)

khanhnamle1994/cracking-the-data-science-interview

Aug 2018 - Jan 2021

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Role in this project:

Data Scientist

Contributions:1 review, 517 commits, 2 PRs in 2 years 5 months

Contributions summary:James contributed to interview preparation materials within the repository. Their commits include documentation and code examples on decision trees, NumPy, Naive Bayes, Linear Models, Pandas, logistic regression, SVM, k-means clustering, Apriori, and FP-Growth algorithms. They also worked on PCA and data exploration with the Brooklyn housing data. The user demonstrated skills in data analysis, machine learning algorithm implementation, and code refactoring.

machine-learningdata-sciencedeep-learningdata-portfoliodownloadable-cheatsheets

khanhnamle1994/react-flux-app

Jul 2017 - Jul 2017

Contributions:26 commits, 25 pushes, 1 branch in 3 days

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