Lilian Weng Portfolio
Former OpenAI VP of Research whose 'Lil'Log' blog is one of the most cited technical references in machine learning, with deep-dive surveys on LLM agents, diffusion models, and AI safety.
What makes it work
A breakdown of the choices that make this portfolio stand out.
Long-form technical surveys instead of short posts
Each entry runs 20-40 minutes and functions as a literature review of a subfield, turning a personal blog into a citation-worthy reference other researchers link to.
No self-promotion, all substance
There's no 'hire me' framing anywhere on the site — the writing's quality does the positioning work.
Consistent publishing cadence since 2017
The archive shows near-continuous output across nearly a decade, a visible paper trail of expertise compounding over an entire career arc.
What ML Engineers can take from this
Specific, actionable tips to apply to your own portfolio — no generic advice.
A handful of exhaustive, well-researched long-form posts on hard topics outperforms dozens of short takes.
Skip personal-branding language — let the density and accuracy of the writing signal seniority.
Publish consistently over years, not in a pre-interview sprint.
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