Project Science Engine leverages AI and computing to transform R&D across hard science industries. It focuses on developing versatile AI models from vast data, scaling AI application, and partnering with industry leaders to solve global challenges, thereby enhancing productivity and creativity in SMEs. In my role, I combined Interaction Design and Human-Computer Interaction principles to create AI and Machine Learning experiences, simplifying complex AI concepts across diverse workflows. I developed UI systems for extensive data management in various sectors, focusing on usability and agile collaboration. Working with Microsoft's Fabric UI Library, I led the integration of design and development, creating cohesive AI-based UX/UI solutions. My leadership in design involved developing UI frameworks for MVPs, significant redesigns, and integrating features like Microsoft's Co-Pilot. These initiatives boosted product success and client satisfaction. I also designed prototypes and established a Fluent-based design system, enhancing visual cohesion and scalability. My mentorship of junior and mid-level designers fostered a team-oriented environment, bridging the design-development gap and enhancing team communication for more efficient product iterations and cohesive user experiences.