Rebuilding My Blog with Vibe Coding: Experiment and Reflections
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...
Read more →👋 I am Jean-Michel Daignan
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.
Recent Posts
Why 95% of AI Projects 'Fail' — and How to Fix It
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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My Databricks Handbook
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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Parsing HTML with LLMs: An Arthurian Quest
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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My Decade's Journey in Data and AI
Reflections on a decade in data science and AI, covering technology trends, organizational changes, project management, and lessons learned across industries.
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Back from Recsys 2024
Key highlights from RecSys 2024 including advances in matrix factorization, LLM integration, and the latest research from Netflix, Spotify, and GroupLens.
Read more →Categories
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Recommender Systems
Recommendation algorithms, evaluation metrics, and personalization techniques
11 posts
🤖
Artificial Intelligence
Machine learning, AI systems, MLOps, model deployment, and AI best practices
20 posts
📊
Data Engineering & Analytics
ETL pipelines, data processing, infrastructure, analytics, visualization, and insights discovery
12 posts
💼
Career
Professional development, industry insights, and career guidance
9 posts