Louis-François Bouchard Portfolio
Co-founder of Towards AI and former Mila-affiliated ML researcher, now runs "What's AI" — a newsletter, YouTube channel, and blog explicitly focused on practical AI-engineering topics like agent memory and context engineering, describing its own mission as "what actually ships."
What makes it work
A breakdown of the choices that make this portfolio stand out.
An explicit research-to-practice pivot, stated directly
Naming both his PhD-level research background and his current practical focus positions the content as informed by research rigor but deliberately scoped to what ships in production — a distinction the homepage draws intentionally, not by accident.
A stated editorial filter
"What actually ships" functions as an explicit content filter, screening out purely theoretical posts and signaling to readers exactly what kind of AI content they'll get.
A structured learning path, not just a post archive
Framing content as a guide "from beginner to AI engineer" turns a blog into a sequenced curriculum, which serves readers who want a path rather than random individual posts.
What AI Engineers can take from this
Specific, actionable tips to apply to your own portfolio — no generic advice.
If you've moved from research to applied work, say so explicitly — it frames your practical content as informed by rigor, not a lack of depth.
Give your content an explicit editorial filter (what you will and won't cover) so readers know what they're getting before they subscribe.
Sequence your writing into a structured path for newcomers, not just a reverse-chronological post archive.
More AI Engineer portfolios
Ready to build your portfolio?
Follow the AI Engineer roadmap — skills, projects, and timeline to get hired.