UX Design for Google's ML Platform - The Gen AI Era

Given the confidentiality of my work at Google, I can't share specific designs or detailed project insights. Nonetheless, my involvement in a landmark project to overhaul the task creation process for data scientists, amidst the rise of Gen AI and LLM technologies, stands as a testament to my contributions to user experience and innovation.

Highlights:

• Championed the redesign of a critical workflow within Google's ML platform, focusing on making the task creation for data scientists more intuitive and efficient amidst the challenges introduced by Gen AI and LLM technologies.
• Facilitated cross-functional collaboration, engaging with UX researchers, product managers, and engineering teams to ensure the technical and user-centric goals were met.
• Utilized rapid prototyping and iterative design methodologies to address user feedback and enhance the overall user experience, significantly contributing to improved satisfaction and operational efficiency.

Project Overview:

This project underscored the intricacies of integrating Gen AI and LLM into existing workflows, demanding a deep dive into user research, stakeholder collaboration, and the agile development of prototypes to test new ideas. Despite the constraints on sharing the minutiae of my work, the experience fortified my expertise in navigating the complexities of AI-driven UX design.

Invitation for Discussion:

Interested in learning more about my approach to UX design challenges and my journey through the evolution of Google's ML platforms? I'd love to share insights into my design philosophy, the methodologies I embrace, and how I balance user needs with technological advancements in a confidential setting.