Abdeldjalil Chougui

Built a high-performance vulnerability management SaaS using Next.js and Tailwind, securing 60,000 digital assets and mitigating 10,000 dark web threats while onboarding 500 enterprise customers.

Developed Solana-based DeFi solutions including low-latency trading bots and copy-trading platform integrations (Raydium, Jupiter), and implemented secure transaction signing and liquidity sniping backends.

Delivered end-to-end AI-powered security system features and mobile apps using Flutter, Django, and Python, improving automation by 35% and enhancing secure vehicle access and predictive analytics.

Delivered and maintained 17 full-stack web and mobile applications with Flutter, Django, React and Next.js; improved deployment speed and reliability by 40% through DevOps and infrastructure work.

Contributed to computer vision tasks and mobile applications, enhancing user experience and adding features that increased product value for customers.

Rebuilt major app components for a food-delivery platform, scaling from 1,000 to 90,000 active users and improving UI performance and stability to support 4,000 daily active users.

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

Collaborated on mobile app development using Flutter, improving app performance and user engagement to meet client requirements.

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.

Built and maintained an e-commerce Flutter app with complex ordering flows and real-time notifications, improving customer engagement and stability.

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.

Grade: 15.2 / 20

Master's degree in Data Science and Web with coursework and projects in machine learning, computer vision, and NLP.

Grade: 14.6 / 20

Bachelor of Computer Science covering programming fundamentals, data structures, algorithms, and software engineering.