Work

I am currently leading Developer Experience at Twelve Labs. We are building foundation models for video understanding.

Previously, I have worked at the nexus of enterprise ML/AI and data infrastructure 🛠️

• Drove product-led and community-led growth at Superb AI by way of advocacy and partnerships

• Bridged the gap between Research and Production Machine Learning with Full-Stack Deep Learning

• Organized community events in the Bay Area via MLOps World

In my past lives, I have built Data Science solutions for startups in Los Angeles (Fin-Tech) and New York (Enterprise). I also used to freelance as a data science journalist - having written 200+ technical articles for various publications and startups (Tecton, Weights and Biases, Snorkel AI, Saturn Cloud, etc.) 👨‍💻

Education

Before this, I completed my M.S. degree in Computer Science from the Rochester Institute of Technology - where my research lies at the intersection of Deep Learning and Recommendation Systems, along with cross-functional work on Meta-Learning ⌨️

I graduated with a Bachelor Degree in Communication and a minor in Computer Science from Denison University in 2017, during which I did summer internships in Business Analytics and Product Management at VC-backed startups in Seattle (Ed-Tech) and San Francisco (Non-Profit) 📈

I finished boarding school in Rabun Gap, Georgia in 2013, prior to which I spent 16 years being born and raised in Hanoi, Vietnam 🇻🇳➡️🇺🇸

Side Hustles

I write a Medium publication called Data Notes - covering industry applications, emerging research themes, and advice from luminaries. Follow it ✍🏻

I host Datacast - featuring raw conversations with data practitioners/researchers to unpack the career lessons they have learned along the way. Subscribe to receive the latest episodes 🎙️

I used to be quite involved with the Effective Altruism community. Reach out if you want to learn more about topics such as AI Safety, Applied Rationality, and High-Impact Careers 😃

Social

I maintain a list of the books I read on Reads and keep track of the podcasts I listen to regularly on Listens. I frequently blog on Writes, regularly commit on GitHub, daily tweet at @le_james94, and always look to connect on LinkedIn 🌐

data science

A list of my top data science projects, in the form of scripts and notebooks, fully open-sourced on GitHub.

Learn More →

academic research

A list of my research projects done in graduate school related to deep/machine learning, recommendation system and computer vision.

Read Them →

data journalism

A list of my top writings on data science, machine learning, and statistics, featured in major technical publications.

Check Them Out →