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Schedule Interview NowMy name is Zine El Abidine F. and I have over 13 years of experience in the tech industry. I specialize in the following technologies: Adobe XD, UX & UI, Adobe Illustrator, Figma, Adobe Photoshop, etc.. I hold a degree in Master's degree, Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: Coin Bull SaaS, Hydra Landing Page, EduNest E-Learning Landing Page, AllBright Wines, Parcel Scan - AI Powered Web App, etc.. I am based in Agadir, Morocco. I've successfully completed 39 projects while developing at Softaims.
My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.
I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims’ clients by reducing infrastructure costs and improving user satisfaction.
I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.
Main technologies
13 years
7 Years
11 Years
9 Years
Potentially possible
IBM Morocco
Coin Bull is a minimal trading web application including stocks, currency conversion, and portfolio management. Logo Design and Iconography: Adobe Illustrator UI UX design: Figma Front-end: React and Router Dom Infrastructure / Back-end: Google's Firebase Machine Learning: Vanilla Javascript (Client Side) Github Repo: https://github.com/zinefalouti/coinbull Live Version: https://coinbull-rho.vercel.app/ Figma Board: https://www.figma.com/community/file/1541198987300108510/coinbull-finance-dashboard
A Figma landing page UI design that displays a brand in a minimalistic and quick triggers, all in a single page. Grid: -Desktop: 12 Grid -Mobile: 4 Grid -Gutter: 10px -Side margin: 84 px
EduNest is a landing page designed as the gateway or marketing material for any type of e-learning platform. The page was designed for Desktop, Tablet and Mobile view with the following specifications: 12 Grid System 20px Gutter for desktop 15px for Tablet and 5 for Mobile A margin of 90px for desktop, but you're free to change it as you wish. The landing page was also coded with HTML5/CSS3 (Tailwind framework and an SCSS for extra styling) Live Version can be visited at: https://zinefalouti.github.io/edunest/
A landing page design for the Red Label AllBright Red and Vineyard
Parcel Scan AI is a result of a research that explores the development and implementation of a Convolutional Neural Network (CNN) for tracking and classifying package damage in logistics. Research Paper: https://www.academia.edu/127630046/Automated_Parcel_Damage_Detection_in_Logistics_Using_Convolutional_Neural_Networks Live Version: https://parcelcheckai.onrender.com/
Master's degree in Logistics & Information Systems
2012-01-01-2014-01-01
Bachelor of Computer Science (BCompSc) in
2009-01-01-2012-01-01