Project Description: LookPrior is a video-first fashion marketplace built to improve trust and transparency in online buying. Instead of relying on static images, the platform allows sellers to showcase clothing and accessories through short-form videos, helping buyers better understand product quality, fit, and real-world appearance. I led the development of the platform with a focus on performance, scalability, and user experience. A key challenge was handling video content efficiently without slowing down the application. I implemented optimized media handling using compression, lazy loading, and CDN-based delivery to ensure fast load times and smooth playback, especially on mobile devices. Technologies Used: -Frontend: React, mobile-first responsive design, optimized rendering for media-heavy UI -Backend: Node.js with structured REST APIs and scalable service design -Database: MongoDB with indexing for efficient search and filtering -Media Handling: Video upload pipeline with compression, lazy loading, and CDN delivery -Search & Filtering: Optimized query logic for fast and relevant product discovery -Authentication & Security: Secure auth flows and input validation -Integrations: Payment processing, inventory logic, and social sharing -Deployment: Cloud hosting, caching strategies, and performance monitoring Key Achievements: -Increased buyer confidence through video listings: Users relied less on messaging and felt more confident making decisions after viewing product videos. -Improved performance for media-heavy pages: Reduced load time issues by optimizing video delivery, resulting in smoother mobile experience. -Designed scalable listing architecture: Built a flexible system that supports future enhancements without major refactoring. -Enhanced product discovery: Improved search and filtering based on user behavior, leading to more efficient browsing.

Project Description: Sand & Sky is a premium DTC skincare e-commerce platform built on Shopify, focused on delivering high-quality beauty products using Australian Pink Clay and native botanicals. The platform is designed to provide an immersive and conversion-driven shopping experience, helping users discover effective, eco-conscious skincare solutions through education, personalization, and strong visual storytelling. I contributed to the development and optimization of the storefront, working primarily on a custom Shopify theme using Liquid, JavaScript, and SCSS. A key focus was improving performance and usability across a content-heavy interface that includes high-resolution imagery, product education sections, and dynamic components like quizzes and recommendations. I implemented optimized asset loading, refined component rendering, and improved mobile responsiveness to ensure a smooth and fast user experience across devices. From a product and engineering standpoint, I worked on enhancing core e-commerce flows such as product discovery, subscription handling, and checkout experience. I also supported integrations with third-party tools for subscription management, global shipping, and customer loyalty programs, ensuring they worked reliably within the Shopify ecosystem. Throughout the project, I aligned technical improvements with conversion goals—helping users navigate skincare routines more easily and complete purchases with less friction. Technologies Used: -Frontend: Shopify Liquid (custom theme development), JavaScript (dynamic UI interactions), SCSS (modular and maintainable styling) -Shopify Platform: Theme customization, section-based architecture, and performance tuning within Shopify constraints -E-commerce Features: Product recommendation logic, subscription workflows, and multi-region shopping experience -Third-Party Integrations: Subscription management tools, payment gateways, loyalty/rewards systems, and fulfillment services -Performance Optimization: Lazy loading, image compression, and CDN-based asset delivery for faster page loads -UI/UX Engineering: Conversion-focused layouts, mobile-first optimization, and improved navigation for product discovery -Analytics & Tracking: Monitoring user behavior to identify drop-offs and improve funnel efficiency Key Achievements: -Improved storefront performance on media-heavy pages: Optimized image loading and asset delivery, which reduced noticeable delays and created a smoother browsing experience, especially on mobile. -Enhanced product discovery and personalization: Supported features like skincare quizzes and recommendation flows, helping users find suitable products more easily without overwhelming them. -Stabilized and improved subscription experience: Worked on integrating and refining subscription workflows to ensure consistency across product pages and checkout, reducing user confusion. -Optimized mobile shopping experience: Refined responsive layouts and interaction patterns, resulting in more intuitive navigation and better engagement from mobile users.

Project Description: Educahub.ai is an AI-driven digital learning platform delivered through a Shopify-based storefront, designed to sell and manage online courses, educational content, and digital learning experiences. The platform combines e-commerce functionality with AI-assisted learning support, allowing users to discover, purchase, and engage with educational content in a seamless and structured way. I worked on customizing the Shopify theme and extending its capabilities to support non-traditional e-commerce use cases such as digital course delivery, structured learning flows, and AI-assisted interactions. One of the key challenges was adapting Shopify—primarily built for physical products—into a system capable of handling digital content, gated access, and user-specific learning experiences. To address this, I implemented custom Liquid templates, dynamic frontend logic, and integrated external services to manage course access and user progress. Technologies Used: Frontend: Shopify Liquid (custom theme development), JavaScript (dynamic UI for course interactions), SCSS (modular styling) Shopify Platform: Custom templates for digital products, section-based architecture, and theme customization Digital Product Handling: Custom logic for gated content access and post-purchase user flows AI Integration: External AI service integration (API-based) for learning assistance features Third-Party Integrations: Tools for course/content delivery, user management, and extended functionality beyond Shopify’s native capabilities Performance Optimization: Lazy loading, asset optimization, and CDN usage for faster content delivery Authentication & Access Control: Controlled access to purchased content via custom workflows Analytics & Tracking: Monitoring user interactions to improve engagement and conversion Key Achievements: Successfully adapted Shopify for digital learning use case: Extended the platform beyond standard e-commerce by enabling structured course delivery and gated access to purchased content. Improved post-purchase user experience: Built smoother transitions from checkout to content access, reducing confusion and making it easier for users to start learning immediately. Optimized performance for content-heavy pages: Reduced load delays by improving asset handling and frontend rendering, especially for mobile users accessing course materials. Integrated AI-assisted features into storefront experience: Enabled AI-powered support through external services, enhancing user engagement without disrupting the core Shopify workflow.