January 19, 2026 · 9 min read
How to work with AI
A set of best pratices on how to work and collaborate with AI to co-own your work
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Thoughts on AI, Machine Learning, Data Science, and MLOps.
January 18, 2026 · 4 min read
Mimesis: training field interviews with personas
Mimesis is a web-based interview training platform. It allows master-level students and researchers to conduct realistic interviews with adaptive AI personas grounded in real interview data. The project combines two strong axes: rapid delivery using agentic AI coding practices, and deep conceptual work on persona design as a proxy for human social behavior.
MimesisAIPersonnasGoogle ADKAgentic codingSociologyField research
August 1, 2025 · 5 min read
Moliere.love : traduire Molière en français moderne avec l’IA
Un projet expérimental mêlant intelligence artificielle et humanités numériques pour traduire les œuvres de Molière en français moderne, vers par vers. Conçu comme un laboratoire de travail avec les LLM, il explore le prompt engineering, la génération contrôlée de texte et les enjeux d’accessibilité, à travers une application web et mobile pensée pour un usage pédagogique réel.
Moliere.loveAI générativeEDtechClaudeLLMsLittératureWCAG
August 1, 2024 · 3 min read
Early-Stage AI feasibility validation
Building something that works is no longer the hard part. Knowing whether it should exist is. This piece looks at two AI-heavy projects that never shipped, not because the technology failed, but because business reality intervened. From toxic content detection on TikTok to a PMF validation platform for solo founders, both experiments used AI to compress time-to-insight, test assumptions early, and expose strategic constraints fast. The focus is on how AI reshapes early-stage decision-making by making it cheaper to be wrong — and clearer when it’s time to move on.
AI experimentationproduct–market fitstartup strategyrapid prototypingfounder mindset
June 19, 2024 · 5 min read
Analysons TikTok
Analyse multimodal des videos TikTok grace au deep learning et machine learning classique
WorkshopDeep LearningTikTokAnalysisNLPComputer Vision
August 1, 2023 · 3 min read
Scaling Real-Time Global Taxi Pricing with AutoML at Karhoo
At Karhoo, I led pricing and forecasting for a global taxi marketplace operating in real time across multiple continents. Facing accuracy ceilings and scaling limits with bespoke scikit-learn random forest models, we benchmarked and migrated to Vertex AI AutoML on GKE, with feature pipelines in BigQuery and automated model promotion. The transition delivered significantly higher prediction performance, lower infrastructure and operational costs, built-in drift handling, and greater flexibility for global rollout under strict latency constraints.
AutoMLVertex AIMLOpsBig QueryGoogle Cloud
