Leading product UX for an AI orchestration platform focused on lowering the barrier to AI for non-technical users. Streamlining workflows, simplifying information architecture, and elevating the UI aesthetic across the product. Also designed and built the company's marketing website end-to-end.

• Architected the foundational UX for 5 diverse observability domains, translating complex technical requirements into intuitive user patterns. Executed the 0-to-1 design-to-launch cycle in just 6 months, leveraging AI tools to streamline design.

• Led AI integrations across critical user journeys, leveraging generative and predictive AI to reduce Mean Time to Resolution (MTTR) and Mean Time to Value (MTTV).

• Scaled and mentored a globally distributed design organization of 9, implementing structured feedback loops to foster a culture of collaboration and excellence.

• Established the foundational UX architecture for Cisco Observability Platform (COP) DevEx, transforming a nascent concept into a scalable design strategy.

• Aligned Product, Engineering, and Design stakeholders by translating technical backend architectures into a cohesive UX vision for COP. This vision reduced cross-departmental friction and accelerate the 0-to-1 development cycle.

• Increased design velocity by leading a design team of 8 across multiple time zones by establishing collaborative design rituals and feedback sessions.

• Pioneered the organization’s inaugural design system, establishing a comprehensive Figma library that served as the foundational UI standard across the product. This provided engineers with a library of reusable, production-ready components to significantly accelerate development velocity and reduce UX debt.

• Scaled the design organization by hiring specialized talent and mentoring a team of five, fostering a culture of collaborative excellence and faster feature delivery.

Designed the foundational UX for the core network data analysis workspace, transforming high-density telemetry data into a intuitive, actionable troubleshooting workspace. Utilized iterative prototyping and user research to simplify complex troubleshooting journeys, leading to faster issue detection for enterprise customers.