As the Lead Full-Stack Developer of AIOWEAR, I was responsible for architecting and building the entire platform from the ground up. I designed and developed both app.aiowear.com and shop.aiowear.com, ensuring a seamless connection between AI-powered fashion generation and a robust e-commerce marketplace. On the backend, I implemented scalable APIs, real-time data handling, and secure authentication, while the frontend was crafted for a highly interactive, smooth user experience using modern frameworks like React, Next.js, and Tailwind CSS. I also integrated AI-driven image generation, enabling users to create unique fashion designs with simple text prompts.

Beyond development, I played a strategic role in optimizing performance, enhancing UX, and integrating third-party services like payment gateways and order management systems. I collaborated closely with designers and stakeholders to align technical solutions with business goals, ensuring that the platform not only functioned flawlessly but also provided a compelling and engaging experience for creators and customers. My contributions helped AIOWEAR scale rapidly, double its user base to over 30k, and establish itself as a game-changer in AI-powered sustainable fashion.

As a sole developer of this initial startup, I was alone developing everything. The owner of this project used to send me PowerPoint slides with rough designs and then I had to bring them to life.

Seamless AI Integration – Ensuring that AI-generated fashion designs were both high-quality and realistic while maintaining fast processing speeds was a major challenge. Optimizing AI models and backend infrastructure was crucial.
Scalability & Performance – As the platform grew, handling increasing traffic, real-time AI rendering, and user interactions without performance bottlenecks required continuous optimization.
E-Commerce & Payment Complexity – Implementing secure payment processing, managing order flows, and ensuring a smooth transaction experience across different regions involved dealing with multiple third-party APIs.
MOQ-Based Order Management – Developing a dynamic system where production only begins after meeting the minimum order quantity (MOQ) required precise tracking, automated notifications, and seamless coordination with manufacturers.
Sustainability & Logistics – Aligning the tech infrastructure with the company's eco-friendly mission meant integrating supply chain logistics that prioritized recyclable materials and minimized waste.
User Experience & Adoption – Balancing the needs of both creators and buyers meant designing an intuitive UI/UX that made AI fashion generation effortless while ensuring a smooth shopping experience.

Optimizing AI for Real-World Applications – Implementing AI-powered fashion design taught me how to balance processing speed, accuracy, and usability, ensuring users could generate high-quality designs instantly.
Building a Scalable, High-Performance Platform – Managing increasing traffic and real-time interactions reinforced the importance of efficient database design, caching strategies, and server optimizations to maintain seamless performance.
E-Commerce & Payment System Best Practices – Working with secure transactions, order flows, and third-party payment gateways deepened my expertise in handling financial transactions at scale.
Integrating MOQ-Based Production Logic – Developing an order system where production only starts after a certain demand threshold was met required smart automation, real-time tracking, and seamless communication with manufacturers.
Sustainability in Tech & Logistics – Aligning software development with eco-friendly business goals gave me valuable insights into supply chain management, sustainable production, and green technology practices.
User-Centric Design & Engagement – Creating a platform that caters to both designers and buyers emphasized the importance of UX/UI design, onboarding flows, and retention strategies to drive engagement and adoption.

30,000+ Users – Successfully scaled the platform, doubling its user base through seamless AI-powered design and marketplace integration.
10,000+ AI-Generated Designs – Users created and stored thousands of unique, AI-generated fashion pieces, showcasing the platform’s creative potential.
Increased Creator Revenue – Enabled designers to monetize their AI-generated clothing, with a steady increase in completed orders and sales conversions.
95% Faster AI Processing – Optimized Stable Diffusion integration to reduce image generation time, improving user experience and engagement.
Seamless E-Commerce Transactions – Processed hundreds of secure payments through Stripe, ensuring a smooth checkout and revenue distribution system.
MOQ-Driven Production Efficiency – Successfully automated order processing based on MOQ thresholds, reducing waste and ensuring only high-demand designs were manufactured.
Sustainability Impact – Contributed to eco-friendly fashion by using recyclable materials, helping reduce plastic and textile waste in clothing production.
High System Uptime & Performance – Maintained 99.9% uptime, ensuring a seamless and reliable user experience even during peak traffic periods.

Frontend (User Interface & Experience)

Frameworks & Libraries – Built with Next.js & React, ensuring server-side rendering (SSR) and static site generation (SSG) for improved performance and SEO.
Styling & UI Components – Used Tailwind CSS for utility-first styling and Chakra UI for responsive, accessible, and customizable UI components.
State Management – Leveraged React Context & Zustand for managing global state efficiently.
AI Image Generation – Integrated Stable Diffusion to process user prompts and generate high-quality fashion designs in real time.

Backend (API & Business Logic)

Server & Framework – Developed using Node.js with NestJS, ensuring a modular and scalable backend architecture.
Database – Used MongoDB with Mongoose for structured and efficient data handling.
Authentication & Security – Implemented JWT-based authentication and OAuth (Google, GitHub, etc.) for seamless user access.
Payment Processing – Integrated Stripe for secure transactions, handling product purchases, revenue distribution, and refunds.
Real-Time Updates – Utilized WebSockets & Server-Sent Events (SSE) for instant order status updates and user notifications.

Storage & Deployment

Cloud Storage – Stored AI-generated images and user assets in AWS S3, ensuring scalable and secure file storage.
Hosting & Serverless Functions – Used AWS Amplify for deployment and Lambda functions for handling event-driven backend tasks efficiently.
CDN & Performance Optimization – Leveraged CloudFront for caching and Next.js Image Optimization to enhance load speeds.

AI & Order Processing

AI Model Handling – Integrated Stable Diffusion APIs to generate clothing designs based on user inputs.
MOQ-Based Order System – Developed an automated system that tracks orders and triggers production workflows when the minimum order quantity (MOQ) is met.
Automated Email & Notifications – Set up AWS SES & SNS to handle order confirmations, shipping updates, and user alerts.

This architecture ensures scalability, high performance, and a seamless user experience, making AIOWEAR a powerful AI-driven fashion design and e-commerce platform.