Built a multi-model generative AI platform for text, image, music, and video workflows with a structured orchestration system behind it. IMAGENA uses an orchestrator-worker architecture where a primary model coordinates specialized workers, routes requests
based on context, and executes parallel subtasks when needed.
Combined with RAG pipelines, OCR workflows, vector memory, and Redis-backed system logic, the platform was designed as a scalable fullstack AI product beyond a standard single-model chat experience.
Live: https://imagena.ink
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Full-Stack EdTech Platform for Online Exams, Progress Tracking
I built CerdasLab, a full-stack online tryout platform for students preparing for entrance exams. It includes a student dashboard, online exam flow, score tracking, history review, subscriptions, and an admin panel for managing users, subjects, tryouts, and questions. I handled both frontend and backend development using Next.js, React, TypeScript, Tailwind CSS, PostgreSQL, Redis, Drizzle ORM, and Better Auth.
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REST API Integration Layer for Automation and Product Workflows
Built a backend integration layer designed to reduce repetitive setup work and make service connections, automation, and product development easier to ship.
This project shows my ability to support AI and product workflows with cleaner backend logic and integration structure.
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Crowdfunding Platform Concept with Payments and Product-First UX
Designed and developed a crowdfunding platform concept focused on trust, usability, and smoother donation workflows for both donors and organizers.
This project highlights my product thinking, web platform development, and ability to shape business workflows into clearer digital experiences.