Developed a full-stack e-commerce platform for selling glasses, handling everything from backend to frontend. Built a user-friendly interface with React.js and UI/UX best practices, including multiple filters, CMS, mailing system, product ordering, and delivery management.

Developed a system for managing bugs and customer support during a hackathon. Features include AI-powered call handling with Twilio, chat summarization using OpenAI GPT, ticket creation and tracking, and a developer platform for managing bugs with insights, severity, and suggested fixes.

Developed a comprehensive microservices-based hotel management system to streamline hotel operations. Features include reservation management, staff scheduling, inventory tracking, parking management, customer reviews, and auxiliary services. Built with Spring Boot microservices, Angular frontend, and Eureka service discovery.

I worked with Talan Tunisie on a project that uses AI and sonogenetics to detect and treat cancer without painful biopsies. The AI adjusts ultrasound settings for each patient, improving diagnosis and treatment. The system gets better over time by learning from different cases.

Microservices project featuring Configuration Servers, Service Discovery (Eureka), API Gateway, async (Kafka) and sync (OpenFeign, RestTemplate) communication, distributed tracing, security with Keycloak, and Docker infrastructure

Built a cross-platform Flutter application for online shopping with Firebase backend. Implemented features such as Paymob integration, Google Maps with multiple themes, authentication with email/Google, cart system, product details, and a smooth user experience using Bloc state management.

Implemented machine learning models for real-time anomaly detection in financial transactions, improving fraud detection and alert systems

focusing on detecting and analyzing adenocarcinoma using advanced deep learning techniques. It includes a complete #MLOps pipeline with #MLflow and #DVC for managing models, along with #CI/CD for smooth deployment.

I worked on a freelance project for a startup, developing an app with a TensorFlow-based sign language detection system integrated into a Spring Boot backend. The app ensures secure communication and real-time messaging via WebSocket. The Flutter front-end allows users to communicate through sign language, which is detected, refined by the OpenAI API, and delivered instantly. The app also features a Jenkins pipeline for CI CD

I developed a Python chat app that lets users communicate with their database using natural language. Integrated with MySQL, OpenAI, and Langchain, the app provides SQL queries and explanations through an easy-to-use interface.

job portal similar to LinkedIn where users can apply for jobs.

I worked on The Energy Guard project with Coficab, a manufacturer, where I developed a web application for comprehensive industrial energy management. The app integrates IoT sensors on machines to monitor and analyze energy usage. It also incorporates a machine learning model to predict energy consumption and suggests best practices for reducing it

Developed an AI-powered event management platform with real-time scheduling, analytics, and cross-platform accessibility. Integrated Firebase for data handling, a GoLang backend for high performance, and a modern client interface for organizers and attendees.

Led a DevOps initiative to develop and deploy a Spring Boot and Angular full-stack dormmanagement system, emphasizing seamless CI/CD and cloud infrastructure.

Developed an advanced object detection model tailored for optical remote sensing images, significantly boosting detection accuracy using the Adaptive Mask R-CNN architecture.