ML Platform is a confidential machine learning application currently in development. The project is designed to make machine learning more approachable and user-friendly for individuals of all technical backgrounds — with no coding required. Due to ongoing development and limited access, details remain under wraps until its public release.

My Role
I contributed to both the UX design and frontend development of the application, focusing on creating intuitive and accessible user flows for complex ML tasks.

Key Contributions:

• Full Design Process: Started with initial paper sketches and translated them into wireframes and low- to mid-fidelity prototypes using Figma.

• User-Centered Design: Conducted user interviews to test the mid-fidelity prototype, then iterated on the design based on real feedback to enhance usability and clarity.

• High-Fidelity Prototype & Implementation: Created a polished, high-fidelity design and implemented it using modern frontend tools and frameworks.

• Iterative Design & Development: As new features were added, I continued to design additional components and collaborated closely with the development team to bring them to life in the frontend.

The application is primarily geared toward health-focused data but is being built with scalability in mind for future use cases beyond healthcare.