AI Engineer and Full-Stack Developer with expertise in machine learning, big data processing, and cloud-native applications. Proven track record of delivering AI-powered DevOps solutions, reducing operational costs by 40% and improving system performance by 50%. Experienced in end-to-end product development from research to deployment across web, mobile, and IoT platforms.
During my time in university, I attended 1+ hackathons. People from around Morocco would come together and build incredible things in 2-3 days. Here are some of the projects I worked on.
Agadir, Morocco
Healthteach Metaverse Hackathon is a 48-hour event that brings together developers, designers, and entrepreneurs to create innovative solutions that address the challenges of the healthcare industry. Participants will have the opportunity to collaborate with industry experts and mentors to develop cutting-edge solutions that improve patient care, streamline operations, and enhance the overall healthcare experience.I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.
Architected big data pipeline using Apache Kafka, Spark, HDFS, and MongoDB for real-time sentiment analysis. Trained deep learning model with LSTM and BiLSTM achieving optimal accuracy on Arabic text classification. Built Flask dashboard with live analytics providing insights into public opinion trends and engagement metrics.
Developed intelligent computer vision system for automated tomato sorting by ripeness and size using YOLOv11. Implemented real-time IP camera integration with Streamlit dashboard for continuous monitoring. Created multi-class classification system (Unripe/Semi-ripe/Ripe) with live analytics and performance metrics.
Built end-to-end ML application predicting software developer salaries using Stack Overflow survey data. Developed interactive Streamlit interface with Random Forest model achieving high prediction accuracy. Implemented automated data preprocessing pipeline with real-time predictions and confidence indicators.
Designed IoT water monitoring system with ESP32 sensors and cloud-connected analytics dashboard. Built Next.js/Express.js application reducing water waste by 30% through actionable insights. Implemented real-time data collection and wireless sensor integration for environmental monitoring.
Engineered educational analytics platform using Hadoop and Apache Spark for large-scale data processing. Integrated Apache Kafka for real-time streaming and advanced computer vision for educational insights. Developed distributed architecture supporting scalable image processing and analytics capabilities.
Developed a robust Rental Management System to streamline the complexities of managing rental properties. The system efficiently handles tenant information, lease agreements, payments, and maintenance requests, ensuring a seamless experience for property owners and tenants alike.
Designed and implemented a user-friendly mobile application that simplifies the often-tedious task of tracking student absences. This intuitive app empowers teachers to efficiently manage attendance records and generate comprehensive reports with ease.
Check out my GitHub profile for more projects.
Here's a live feed of my recent development activities and achievements.
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Want to chat? Just shoot me a dm with a direct question on WhatsApp and I'll respond whenever I can. I will ignore all soliciting.