👋 Hi, I’m Daniel — a machine learning engineer focused on the intersection of research and product.
This website exists for three main reasons:
A representation of my career and resume
If you’re here to understand who I am and what I’ve worked on — welcome! My background:
2018
Engineer · DeepScale
Computer Vision for autonomous vehicles.
Acquired by Tesla
2019
Senior Machine Learning Scientist · Tesla
Helped build and ship Full Self Driving.
2022
Transition Team · X
Helped navigate the transition as Twitter was acquired and converted
to X.
Acquired Twitter → X
2023
Founding Research Scientist, Head of AI · Harvey
Built out several product lines, scaled the AI org from zero to 10+
engineers. Seed stage to post Series C.
2025
Research · xAI
Frontier language modeling and product development. Shipped the first
memory & personalization features.
Acquired X (again) Acquired by SpaceX
now
Exploring · what's next
Exploring my next adventure in hard tech. Some early-stage investing.
A home for my writing
I write to clarify my thinking. Publishing forces rigor, encourages better reasoning, and helps me share what I wish I knew years ago.
Topics include:
- product development and engineering challenges
- psychology of building great products
- scaling startups and org design
- modern ML research and practical implementation work
I write in a build-in-public style — some posts polished, some exploratory.
A sandbox for experimentation
As software approaches zero marginal cost, the pipeline from idea → prototype → live on the internet has never been easier.
Thinking of the browser as “a way to let other people run my code instantly” makes tinkering fun.
Not everything here is production-grade — some things are just experiments.
Recently I’ve been exploring local-first LLM inference, WebGPU acceleration, and running small models directly in the browser.
Thanks for stopping by — writings, projects, and contact info below.