Simple is Smart.
Some see code; I see a mix of Mathematics and Art. Since 2022, I've been refining a workflow that prioritizes clarity over clutter. I'm a Python-trained engineer who found a home in Frontend development—because the best solutions should be seen and felt. My experience at GeeksforGrowth and in the freelance world has taught me that the best work usually looks easy. If I'm not at my desk working on a side project, I'm likely offline, enjoying nature or hanging out.
alihxn@web ~ %
Career
Frontend DeveloperNov 2024 - April 2026
At Geeks for Growth, I leveraged a diverse tech stack including React, Shopify, and WordPress to deliver high-quality web solutions. I acted as a key technical liaison, translating complex client requirements into actionable project roadmaps and collaborating across multifunctional teams to ensure seamless deployment and client satisfaction.
Frontend DeveloperAug 2023 - Nov 2025
At Playproject, I contributed to a range of innovative projects aimed at decentralizing the web and protecting user privacy. The company’s mission to fight centralized systems that compromise personal data resonated with my passion for privacy-first web development. In my role, I developed and maintained various web applications using vanilla JavaScript, HTML, and CSS. Despite using these core technologies, I implemented a full reusable component and module system, similar to React, utilizing bundlers like Browserify. This approach allowed for the creation of modular components that were easily adaptable and reusable across multiple projects.
Frontend DeveloperMay 2023 - Jan 2024
In Muscled Inc., my role involves contributing to a range of projects, including Shopify development, theme customization, SEO optimization, marketing integration, custom coding, product listing enhancement, and MERN stack projects. I have hands-on experience collaborating on Shopify store development, tailoring themes for unique brand identities, implementing SEO best practices, and optimizing product listings for an enhanced user experience. Additionally, my role includes a focus on speed optimization and leveraging the MERN stack for innovative web applications.
Research AssistantMar 2022 - Aug 2022
As a Research Assistant at CARL Lab, I contributed to cutting-edge research projects focused on path planning and semantic segmentation. This role provided me with valuable hands-on experience in machine learning and deep learning, significantly enhancing my skills in Python and various ML frameworks. During my time at CARL Lab, I worked extensively with tools like TensorFlow, PyTorch, Pandas, scikit-learn, and NumPy. These projects not only deepened my understanding of complex algorithms but also allowed me to apply theoretical knowledge to real-world problems, particularly in the areas of autonomous navigation and image analysis.