PLN

PLN

Bonjour !

I'm PLN, and I love to transform…

…code into solutions to human problems


At Algolia, I've crafted tools that help you build mobile apps, understand your users, and show them your world.
Nowadays, I create GenAI tools for builders of generative experiences
blending search engines and language models together.

…code into music

As ParVagues, I write patterns that shape soundwaves.
I share those as tracks, videos, and live performances.

…code into animated pixelscapes

Using Hydra, I create animations that offer windows into other worlds.

…words into poems

A selection of texts scattered across note books and note apps.

…ideas into talks

I speak about topics I care about: from sharing my passions and teaching useful patterns, to questioning our current mental models.


Most recent talks
  • "1 Million Tokens Trust Me Bro" - Testing Your Vendors' Claims Before They Break Production"Our LLM supports 1M tokens!" "400K context window!" Cool story, but does it actually work on production use-cases? When evaluating Gemini and GPT models for Algolia's Agent Studio, I chose to trust, but verify. This talk shows how anyone can empirically test vendor claims using simple experiments, reproducibility tests, and a healthy dose of skepticism. It doesn't take a PhD: just curiosity, and the stubbornness to run the same test 10 times.
  • The Fellowship of AI: Why you need both Galadriel and Gandalf to build great AI appsEveryone's building AI apps, but great ones require both Gandalf's technical innovation and Galadriel's user wisdom. You've seen the extremes: brilliant POCs with terrible UX, or beautiful experiences that lag behind latest capabilities. Join Maria Lungu (UX engineer) and PLN (Staff ML engineer) as they battle through real design trade-offs, showing how the friction between ML ambition and UX wisdom creates AI that users actually love.
  • The Human Element: how we collaborate to build trustworthy AIIn this talk, we share learnings from building together an AI-powered Shopping Guides feature for thousands of Algolia customers, bringing shopping guides to millions of end-users. The talk will focus not on the product we built, but rather on the friends we made along the way: how we learned to navigate this collaboration between UX experts and AI teams, each having different priorities and vocabularies. Two distinct perspectives, often complementary, sometimes at odds, on crafting AI shopping experiences that truly empower users.