A Senior Data Scientist and Machine Learning Engineer at Ubisoft, passionate about deploying ML systems in production and building personalization and discoverability systems. I share my learnings, experiments, and insights about data science, MLOps, and the intersection of gaming and AI.
A practical walkthrough of text embeddings from fundamentals to production — covering model selection, vector storage, similarity metrics, and validation through a real cold-start content...
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I spent a weekend rebuilding my Jekyll blog using Claude Code and vibe coding. The result? A functional website in days instead of months. But...
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Debunking the AI failure myth by analyzing the MIT report, discussing ROI measurement, integration challenges, and what really makes data systems succeed.
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After years of building in-house ML platforms, we migrated to Databricks in December 2024. This handbook shares practical tips and tricks for working with the...
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Building a French TV show dataset using LLMs for HTML parsing, comparing zero-shot and few-shot prompting, and exploring fine-tuning for data extraction.
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Reflections on a decade in data science and AI, covering technology trends, organizational changes, project management, and lessons learned across industries.
Read more →Recommendation algorithms, evaluation metrics, and personalization techniques
11 postsMachine learning, AI systems, MLOps, model deployment, and AI best practices
21 postsETL pipelines, data processing, infrastructure, analytics, visualization, and insights discovery
12 postsProfessional development, industry insights, and career guidance
9 posts