Pamela Fox Portfolio
Principal Cloud Advocate at Microsoft focused on Python and applied AI; background spans founding engineering at the Woebot therapy chatbot, curriculum work at Khan Academy, and academic teaching at UC Berkeley — her site indexes talks, interviews, and a public reading list alongside her writing.
What makes it work
A breakdown of the choices that make this portfolio stand out.
A career history that traces directly to current applied-AI work
Founding engineering at an actual production chatbot (Woebot) predates the current LLM wave and gives her current RAG/AI advocacy work a track record grounded in a shipped, real-world conversational product.
Multiple content formats indexed from one homepage
Talks, interviews, blog posts, and a reading list are each given their own section rather than mixed into a single feed, making years of scattered public work easy to navigate from one place.
Honest, stated constraints on availability
Explicitly stating limited time due to family and a full-time job, rather than implying unlimited availability, sets realistic expectations for anyone reaching out — a small detail that builds trust.
What AI Engineers can take from this
Specific, actionable tips to apply to your own portfolio — no generic advice.
If your current AI work builds on earlier, less trendy experience (like an older chatbot or NLP project), state that lineage explicitly — it shows real depth, not a recent pivot.
Index different content types (talks, interviews, writing) into separate sections from one homepage rather than one undifferentiated blog feed.
State your real availability and constraints plainly rather than implying you're always open — it sets honest expectations upfront.
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