Chayma Ben Hmida

* Contributed to the development of a multi-layer AI pipeline focused on cybersecurity and real-time threat detection by integrating NLP (Natural Language Processing), structured data, and file parsing modules. * Worked on building a context-aware recommendation system utilizing continuous learning to adapt to real-time data inputs, improving the accuracy and relevance of security insights. * Applied machine learning (ML) techniques to analyze large volumes of data and enhance detection accuracy in cybersecurity frameworks. * Developed and optimized data pipelines for AI models using RAG (Retrieval-Augmented Generation) techniques to improve the efficiency and scalability of real-time threat analysis. * Collaborated with the engineering team to deploy robust API integrations for data transfer, ensuring scalability and security in the production environment. * Actively contributed to performance tuning and evaluation of AI models to meet latency and reliability benchmarks in production systems. * Engaged in problem-solving sessions and brainstorming workshops to find innovative AI solutions to complex cybersecurity challenges.

Project: AI for Education * Participated in the design and development of AI for Education, a full-stack platform that enhances academic quality and student support through artificial intelligence. * Built intelligent APIs using Spring Boot and Python to automate the monitoring of Course Learning Outcomes (CLOs) and Program Objectives (POs), enabling data-driven curriculum evaluation. * Developed a KNN-based recommendation engine that delivers personalized learning paths and content suggestions based on each student’s academic progress and performance gaps. * Improved real-time data processing by optimizing MySQL schema and query logic, reducing response latency by over 50%. * Contributed to the scalability and reliability of the EdTech platform, supporting over 1,000 users with secure, responsive, and adaptive interfaces. * Helped transform traditional education management into a more personalized, transparent, and AI-driven experience, aligned with institutional learning goals.

* Developed core modules of a desktop HR management system using PHP and MongoDB, focusing on scalability and maintainability. * Implemented key functionalities such as employee record management, attendance tracking, and automated HR workflows. * Refactored backend processes and optimized database queries to boost system speed and ensure data consistency. * Worked cross-functionally in an Agile environment, contributing to sprints and product iterations aligned with real business needs.