Projects
These three projects tell a connected story — each one builds on the last, following a single user, Orion the SRE, through increasingly complex challenges. Together they show my end-to-end design process across a real, shipped enterprise AI product.


Create an action flow

The goal of this project was to help users create and test an action to resolve a problem — ensuring they could validate it before saving. These actions matter because they help users solve recurring incidents faster, reducing impact on their customers and business.
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• Led and aligned the team
• Identified persona
• Created user flow wireframes
• User testing to validate
• Final designs in Figma and QA
Generate an AI action

This project builds on the previous one — Orion has created actions to help resolve incidents, but sometimes the incident is more complex and he needs more help.
That's where AI comes in. I led the design team in creating a new user flow that allows AI to recommend and generate scripts for users. Because AI touches multiple areas of the product, I coordinated across teams to ensure the design fit into the broader strategy.
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• Completed GenAI Fundamentals course
• Led design effort
• Collaborated across teams
• User scenarios
Understanding incidents

This was a significant cross-team effort — helping users understand an incident, identify its root cause, and remediate it to reduce downtime. It involved new AI technology and a full UI redesign, which meant carefully balancing the needs, schedules, and perspectives of team members across multiple overlapping teams.
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Presented at IBM's THINK conference and submitted for a Red Dot award
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• Strategy, collaboration, negotiation
• Cross team alignment
• Competitor analysis
• Facilitation and workshopping