Wajih Mekni

I engaged in innovative research on Graph Neural Networks (GNN) for Network Calculus, contributing to advanced modeling techniques. • Designed and trained GNN models to predict network performance, utilizing PyTorch and PyTorch Geometric. • Built custom datasets with protobuf, enhancing data handling capabilities. • Strengthened my knowledge in graph theory, deep learning, and mathematical modeling through hands-on experience.

I had the opportunity to contribute to the development of a comprehensive web platform for chess tournaments at CoaChess. • Built the platform using FastAPI and Next.js, focusing on user-friendly design and functionality. • Improved system performance and UI/UX to enhance overall user engagement. • Designed robust APIs for efficient scheduling, ranking, and tournament automation.

• Developed a comprehensive DNS monitoring platform to analyze domain changes and reputation. • Implemented an automated alert system using Python scripts and FastAPI for periodic checks. • Collaborated with a dynamic startup team at NEXT STEP in Tunis, Tunisia, enhancing domain security.

• Led and organized advanced training sessions in data structures, graph theory, and dynamic programming for ENSI students. • Collaborated with the club’s executive board to successfully organize national events like Code & Conquer and EPC. • Enhanced the programming skills of participants, fostering a competitive spirit and community engagement.

Developed an online learning platform for students and teachers with integrated AI chatbot for course summaries and content assistance.

• Developed an interactive chessboard for real-time teaching and practice of chess openings. • Utilized Angular to implement dynamic board logic and enhance user visualization. • Collaborated with the CoaChess team to create an engaging learning tool for chess enthusiasts.