Khalid dniden

Core Responsibilities: Driving the development of digital solutions by : - Conducting feasibility assessments and developing Proofs of Concept (POC). - Designing technical solutions: preparing detailed specifications and evaluating alternatives. - Implementing development tasks while ensuring compliance with technical requirements. - Performing rigorous unit testing to ensure quality. - Overseeing technical validation processes and supporting production rollouts. - Investigating and resolving production issues and incidents. - Ensuring continuous improvement through adaptive and corrective maintenance. - Handling change requests in an Agile framework (sprints). - Delivering comprehensive documentation, including design and architecture deliverables.

Project: ERP Konosys for large-scale higher education institutions and ministries Development of SQL Server scripts. Implementation of the ERP Konosys solution. Creation and development of customizable reports. Development of various modules and maintenance (corrective and evolutionary) of existing modules. Testing and deployment of projects on training and production servers.

POS & Web Restaurant Management : Analyzing user needs and implementing corrections. Adding new technical features to enhance functionality. Designing new websites based on client requirements and feasibility studies. Identifying and troubleshooting issues in the web application.

Web & Mobile Application: Air Quality Monitoring Materials : Arduino board, PM2.5 sensor. This solution enables the prediction of pollutants such as NO₃, O₃, PM10, PM2.5, and CO, combining: Web and mobile interfaces for real-time air quality tracking. Integration of Arduino-based hardware with PM2.5 sensors for data collection. Backend services using Express.js for efficient data processing. User-friendly frontend developed with Vue.js. Android mobile application for on-the-go monitoring and alerts.

Web Application Development: Data Exploration for LMS Recommendation System This application facilitates the exploration and analysis of data generated by a Learning Management System (LMS) recommendation engine, offering: A user-friendly interface for visualizing and interacting with recommendation data. Seamless integration with the LMS backend for real-time data access. Robust data storage and retrieval mechanisms using MySQL.