ML Modeling with Node Graph UI
One of the most exciting features I developed was the ML Modeling module. This part of the platform is built around a node graph UI that empowers users to train machine learning models in a highly visual and interactive way.
Prompting (Chat Interface)
As the sole UI/UX designer on the ADD platform, I was tasked with creating a chat interface that not only felt intuitive but also empowered users to interact with our advanced models seamlessly. In designing the prompting feature, I envisioned a conversational experience similar to interacting with a digital assistant—one that’s both engaging and efficient.
To meet diverse user needs, I integrated multiple models into the chat interface: Gemini, Open AI, Olama, and Qord. Each of these models brings its own unique strengths, and I designed the UI to allow users to easily select the model that best fits their requirements.
Landing Pages
Results
Increased Efficiency: Users reported a 40% reduction in time spent on model evaluation tasks.
Improved Insights: 90% of beta users found the performance visualizations helpful in identifying model weaknesses.
User Adoption: The Challenge Session became one of the most used features in the ADD platform within 3 months of release.
Reflection
Designing the ADD platform was one of the most challenging yet rewarding experiences of my career. With the guidance of my project manager—who taught me deep concepts in data analysis, machine learning, and AI—and through countless discussions with both software and ML engineers, I was able to translate advanced technical ideas into an accessible, user-friendly interface. From learning the intricacies of data science to developing innovative features like the ML Modeling node graph UI, every step was a valuable learning opportunity. This project not only enhanced the user experience in a complex domain but also reshaped my approach to design. I’m excited to continue refining ADD and to bring these insights and innovations to future projects.
Thank you for taking the time to read about my journey. I look forward to discussing how I can contribute these skills and experiences to your team.
