Abdeldjalil Chougui

Led development and architecture of full-stack web and mobile systems using Flutter, Django, React and Next.js, delivering 10 high-impact projects and improving delivery speed by 20–30% while reducing downtime by 15%.

Developed AI-driven mobile features and computer vision integrations for predictive analytics and secure vehicle access, improving system automation by 35% and increasing client adoption.

Part-time software and AI engineer contributing to computer vision tasks and mobile applications, enhancing user experience and feature set for customer services.

Developed and maintained full-stack web and mobile applications, oversaw backend infrastructure and DevOps pipelines, improving deployment efficiency by 40% and enhancing customer experience.

Collaborated on mobile app development using Flutter, improving app performance and user engagement and delivering solutions that increased client app adoption.

Led development of Al Wasta real estate mobile app achieving 12,000 downloads and processing 150,000 operations, implemented real-time chat, streaming, and complex calculations to improve customer experience.

Developed and maintained an e-commerce Flutter app with complex ordering, coupon systems, and real-time notifications, improving operational performance by 45% and customer engagement.

Grade: 15.2 / 20

Activities and societies: Worked on Afiri application (marketplace mobile app), technologies: Flutter, Dart, Django, Docker, Nginx

Master's Degree in Data Science and Web Technologies with applied work on the Afiri mobile application, focusing on machine learning, computer vision, and NLP.

Grade: 14.6 / 20

Completed undergraduate studies in Computer Science covering programming fundamentals, data structures, algorithms, and software engineering principles.