À propos de Mesut
🤖 Software Engineer | Industrial Robotics & Full-Stack Development
🔧 Technical Expertise
💡 What I Bring
🎯 Freelance Opportunities Sought
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Turc
Bilingue ou natif
Expériences
- Industrial RoboticSoftware EngineerINGÉNIERIE MÉCANIQUEfévrier 2019 - Aujourd'hui (7 ans et 4 mois)Nivelles, Belgique
🤖 Software Engineer | Industrial Robotics & Full-Stack Development
Development Team Lead, I design and develop control software for industrial robotic arms within a development team.🔧 Technical Expertise
- Backend: Python (Django), SQL, Redis- Frontend: VueJS, user interface development- Robotics: Industrial protocols (MQTT, Modbus, Profinet)- Systems: Linux, real-time software architecture💡 What I Bring
- Custom feature development based on client requirements- Continuous software performance optimization- Technical leadership and team coordination- Product vision and end-to-end implementation - Car businessFull-Stack Developer - Real-Time Auction Management PlatformAUTOMOBILEoctobre 2025 - novembre 2025 (1 mois)Mons, BelgiqueDeveloped a comprehensive web-based auction management system for a automotive sales company, enabling real-time tracking and analysis of vehicle offers across multiple merchants.The platform features a responsive React-like frontend with advanced filtering capabilities, allowing users to monitor their competitive position in live auctions. Implemented intelligent caching mechanisms and lazy loading strategies to handle large datasets (5000+ vehicles) with instant UI responsiveness.Backend architecture includes a RESTful API built with FastAPI and SQLAlchemy ORM, managing complex relational data between vehicles, merchants, offers, and auction states. Created automated data synchronization workflows with smart scheduling (avoiding night hours, randomized intervals) to maintain data freshness without overloading systems.Key features include: • Real-time competitive intelligence dashboard with win/loss tracking • Advanced filtering system (favorites, winning bids, recent outbids) • Performance-optimized UI with sub-100ms response times • Automated deployment pipeline with Docker containerization • Mobile-responsive design with progressive enhancement • Database migration system for seamless schema updatesTechnical highlights: • Reduced initial page load time from 2900ms to 900ms through lazy loading • Implemented O(1) lookup caching for instant data access • Created human-like scheduling patterns for automated tasks • Built comprehensive API with eager loading to prevent N+1 queries • Deployed on VPS with Nginx reverse proxy and HTTP authentication
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