• Lead agentic AI-focused UX and content design initiatives, improving prompt quality, conversational clarity, and overall agent behavior within a Fortune-scale organization.

• Define system prompts, tone guidelines, and conversational principles that make AI interactions more natural, reliable, and user-centered.

• Design and maintain agentic AI evaluation frameworks to assess reasoning quality, routing behavior, and voice and tone alignment, translating insights into actionable product improvements.

• Collaborate closely with product and engineering partners to shape agent personality, refine workflows, and align AI behavior with business and user needs.

• Prototype and validate AI-powered experiences using tools such as Figma, GitHub Copilot, Vercel, Cursor, and Replit to rapidly test and iterate on concepts.

• Apply design systems, accessibility standards, and UX best practices to deliver consistent, scalable, and intuitive AI-driven experiences.

• Led user experience design initiatives for enterprise platforms, enhancing support for global sales and marketing teams.

• Collaborated with supply chain and R&D teams to ensure user-centric design solutions.

• Drove the adoption of best practices in UX design, resulting in improved user satisfaction and engagement.

• Volunteered as a UX Design Manager at IT Society, a nonprofit organization focused on technology and community engagement.

• Reviewed and selected candidates for the UX Design Intern role, identifying top talent to enhance the team.

• Guided an intern in designing a badging tool, establishing design direction and defining key features for effective user experience.

• Led weekly meetings and attended cross-functional team meetings to ensure cohesive project execution and alignment with strategic objectives.

• Worked onsite at Google via Vaco. Led cross-disciplinary teams, optimized user experience for Google Assistant on multiple platforms (Pixel Phones, Google Home Devices, smart home automation devices)

• Conducted usability testing sessions to gather insights and refine user interactions on voice AI experience in collaboration with product teams and AI/ML engineers.

• Analyzed user behavior to drive user experience decisions, enhancing AI product functionality and ensuring a high-quality, localized user experience.

• Championed user-centered design principles, incorporating user feedback to improve product usability and create seamless, intuitive experiences.

• Provided mentorship and training to team members, helping them develop skills in user research, design analysis, and quality assurance.

• Increased mobile app engagement by 20% through data-driven design decisions.

• Conducted heuristic and competitive analyses to identify user pain points.

• Created user stories and wireframes, collaborating with a team of designers.

• Utilized Figma to provide visual UX recommendations, enhancing user satisfaction.