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Refactor code structure for improved readability and maintainability
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content/experiences/hackathon-cnd.md
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content/experiences/hackathon-cnd.md
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title: Hackathon CND - Machine Learning for Cybersecurity
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type: Hackathon
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company: Commissariat au numérique de défense (CND), French Armies ministry
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companyUrl: https://www.defense.gouv.fr/cnd
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location: Fort du Mont-Valérien, Suresnes, France
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startDate: 2025-11
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endDate: 2025-11
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duration: 3 days
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description: Developed a Python ML pipeline during the CND hackathon to classify system logs for bug and attack detection. Implemented feature extraction and preprocessing, trained and evaluated models (tree-based and lightweight neural), tuned thresholds to favor recall, and delivered a realtime prototype with visualization and reproducible code in collaboration with CND engineers. Implemented a Streamlit application to test the classifier interactively and used an LLM to generate contextual help explaining the likely origin and indicators of detected bugs or attacks for end users.
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tags:
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- Python
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- Machine Learning
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- AI
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- Cybersecurity
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- Streamlit
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- LLM
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emoji: 🔒
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---
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