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Schedule Interview NowBeing part of Softaims has allowed me to see the full spectrum of what technology can achieve when guided by empathy, discipline, and creativity. Each assignment, regardless of size, represents an opportunity to bring clarity to complexity and to turn ambitious ideas into tangible outcomes. I’ve come to realize that successful development isn’t just about writing code—it’s about listening carefully, understanding deeply, and designing thoughtfully. Every client brings unique challenges, and I make it a priority to align my work with their goals, ensuring that the end result is both effective and lasting. Softaims fosters an environment where collaboration is not optional—it’s essential. The collective expertise within the team pushes me to think beyond conventional boundaries, to question, refine, and innovate. I believe that this process of shared learning and experimentation is what makes our solutions resilient and impactful. My ultimate goal is to build technology that feels effortless to use yet powerful in function. I approach every task with the mindset that small details can make a big difference. Through continuous refinement and dedication, I aim to contribute to the kind of work that not only serves today’s needs but anticipates tomorrow’s possibilities.
Main technologies
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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