INSERT INTO readme (subtitle) VALUES (General Kenobi!)

Problem-solver by nature - I identify pain points and build innovative solutions
Recent graduate Full-Stack Development @HolbertonSchool Passionate about automation, developer experience, and eliminating repetitive tasks
Philosophy: If it's manual and repetitive, it should be automated ⚡ Located in Thonon-Les-Bains, France 🏔️

Identify → Innovate → Automate → Scale

I don't just write code, I solve problems:

• 🔍 Spot inefficiencies in my daily workflows
• 💡 Design solutions that eliminate friction
• 🔧 Build tools that others actually want to use
• 📈 Think product - from MVP to business model (like ErrorAPI concept (spoiler alert !))

Examples: Tired of Docker setup → Built MKDF | Need better backups for my projects → Created s4v3my4ss with network discovery

Currently evolving from C to Python for better developer experience "I was tired of setting up Docker projects manually every time"
→ One command creates complete development environments

• The Problem: Developers waste hours on project setup, port conflicts, boilerplate
• My Solution: Smart project generator with automatic port and docker-subnet detection and Docker orchestration
• Innovation: Zero-config approach - just say what you want, MKDF handles the complexity
• Impact: milliseconds instead of hours for project initialization

"Why do enterprise backup solutions cost thousands when you just need reliability?"
→ Production-ready backup system with zero-config network discovery

• The Problem: Small teams need enterprise-grade backups without enterprise budgets or complexity
• My Solution: Intelligent backup system that discovers your infrastructure and just works
• Innovation: Automatic rsync server detection, incremental backups, and elegant CLI interface
• Impact: From manual backups chaos to automated peace of mind
• Tech: Go architecture, network scanning, rsync optimization, interactive CLI
• Approach: AI-assisted development to explore Go while maintaining focus on system design

PoC - Next version incoming with enhanced microservices architecture "Processing telescope data shouldn't require a PhD in astronomy software"
→ User-friendly (for beginners) platform for space telescope image processing

• The Problem: FITS astronomical data is complex, existing tools are researcher-focused and intimidating
• My Solution: Modern web platform making astrophotography accessible with intuitive workflows
• Innovation: Microservices architecture (FastAPI + Vue.js) with real-time processing monitoring and automated image processing pipelines.
• Vision: Bridge between raw telescope data and stunning final images for astronomy enthusiasts
• Tech: FastAPI, Vue.js, MariaDB, Docker, Prometheus monitoring

"Learning PHP/Slim by tackling a real classroom challenge"
→ Personal project to master new framework through practical problem-solving

• Learning Goal: Master PHP/Slim framework beyond basic tutorials
• Inspiration: Daily speaker selection at @HolbertonSchool (no automated system)
• My Approach: Build a constraint-based solution instead of doing theoretical exercises
• Challenge: Implement fair distribution algorithm with business rules (preferences, history) - still needs improvement, though
• Outcome: Solid PHP/Slim skills + functional MVP (though never deployed at school)
• Lesson: Learning through real problem-solving beats tutorials every time

"Why settle for static portfolios when you can explore your projects in 3D space?" → Immersive 3D interface built with Vue.js + Three.js

• Innovation: Interactive space exploration metaphor for project presentation
• Tech: Vue 3 Composition API, Three.js rendering, advanced CSS animations
• Features: Real-time radar, planetary navigation, performance monitoring HUD
• Vision: Future of scientific data visualization and immersive interfaces

Core Languages: Python, JavaScript, C
AI-Assisted Development - Learing purpose: Go (project architecture & system design), CLI design, three.js Web Technologies: FastAPI, Vue.js, HTML/CSS, REST APIs
DevOps Tools: Docker, microservices architecture, monitoring concepts
Infrastructure: Linux, networking, backup systems, rsync, NAS
Database: MariaDB, SQL
Development: Git, automation scripting

• 🎓 Learning: DevOps practices and infrastructure automation
• 🔬 Exploring: Scientific computing and astrophotography data processing, Machine Learning, web 3D with ThreeJS, curious about everything...
• 🚀 Building: Next-generation developer tools and enterprise systems
• 📊 Interested in: Computer Science, Astronomy, Physics

"Transforming ideas into scalable solutions, one commit at a time" ⚡