Role: Senior Designer

As a Senior Designer at Atlassian, I design artificial intelligence systems that help teams work. I shipped Atlassian's first-ever AI feature - Natural Language Issue Search, and have since led design initiatives across the company's AI portfolio, from foundational infrastructure to agent-based systems. Beyond product work, I've driven some of the largest AI-focused user research initiatives at Atlassian and received internal funding to explore how AI can solve accessibility challenges.

AI Context & Teamwork Graph

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I currently design for AI Context, the system that determines what AI agents know and how they reason. This work is built on Atlassian's Teamwork Graph—a knowledge graph that unifies data across Atlassian products and over 100 third-party applications, mapping relationships between people, work, and information.

My focus areas include:

• Contextual grounding: Designing how agents access and surface relevant information from the graph, rooting AI behavior in real data rather than abstraction.
• Inferred knowledge: Exploring how new insights can be derived from existing data—particularly around work patterns, team dynamics, and organizational agency.
• Explainable retrieval: Making graph-based reasoning (GraphRAG) legible to users, so they understand not just what the AI knows and why.

Atlassian Studio

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I was part of the initial design team for Atlassian Studio (now part of Rovo): a no-code platform that enables anyone to build AI agents, automations, and custom workflows. Studio represents a shift in how teams interact with AI: from passive consumption to active creation.

Accessibility & AI

I received internal funding to investigate how AI, particularly vision models,  can support users with motor disabilities. This work explored new interaction paradigms for people who navigate software differently, using AI to reduce friction and expand access.

Data Experiences

On the Data Experiences team, I designed frameworks for AI-driven analytics and decision support:

• Opinionated Analytics: Decision frameworks that distill complex data into high-conviction recommendations
• Agentic Reasoning: Transparent architectures that expose machine reasoning to users
• Explainable Interfaces: Interaction patterns for demystifying AI operations in enterprise contexts
• Multi-agent Systems: Interfaces for collaborative AI networks handling compound tasks

Natural Language Issue Search

I designed Atlassian's first LLM-powered feature: Natural Language Issue Search. This project demonstrated how AI could enhance team productivity by letting users query Jira in plain language rather than structured syntax. You can see this work in Atlassian's promotional materials showcasing the feature.

While respecting confidentiality agreements, I'm happy to discuss my approaches to these challenges and share insights about designing for AI in enterprise settings. Feel free to reach out to learn more about my work in this space.