• Conducted competitor state-of-the-art analysis on integrating Large Language Models (LLMs) into cybersecurity and penetration testing workflows. • Authored comprehensive technical documentation on automating penetration testing tasks with Cursor (AI editor) and Temporal (durable execution framework), streamlining team adoption. • Evaluated risks and established mitigation strategies regarding client data confidentiality and security in LLM integrations.

• Core coursework: Full-stack Development (Angular, NestJS), Software Architecture, Algorithmic Complexity, Artificial Intelligence, Cybersecurity.

• Designed and developed a browser fingerprinting comparison and clustering methodology to enhance web user anonymity. • Built an ETL data pipeline using Python (Pandas) to process and generate complex datasets under multi-variable feature model constraints. • Applied Metric Learning techniques (PyTorch, scikit-learn) to train neural networks to classify and identify high-dimensional dataset similarities.

• Coursework: Web Application Frameworks (Next.js, SvelteKit), Desktop Applications (C# .NET MAUI), Software Design Patterns.

• Co-designed layout mockups with a graphic designer and independently developed the entire web platform (SvelteKit, Node.js, AWS) serving 500+ active users. • Maintained AWS cloud infrastructure and managed collaborative workspace tools for all 40+ student union members.

Modernization of IT infrastructure: • Configured 7 Aruba network switches and modernized municipality IT infrastructure. • Installed and configured PRTG for real-time monitoring of 50+ network devices, and GLPI to manage support tickets for 100+ municipal agents.

• Intensive classes in Mathematics, Physics, and Computer Science (Python, PHP Full-stack).

Preparation and packaging of pharmaceutical products before shipment. (Préparation et conditionnement de produits pharmaceutiques avant expédition.)