AI is used as a practical engineering tool for planning, prototyping, code exploration, code review prep, documentation, and reducing toil. The goal is better engineering judgment, not replacing engineering judgment.

• Prototype, debug, refactor, and explore code with tools like Codex, Copilot, Cursor, and Claude Code.
• Turn vague ideas into plans, tradeoffs, risks, tasks, and design options.
• Prepare code reviews with edge cases, test ideas, and clear diff summaries.
• Draft and improve technical docs, onboarding notes, and explanations.

Public project writeups will stay limited to work that can be discussed clearly and responsibly. Current candidates:

Work candidates

• Identity and security engineering at Duo Security. Engineering leadership across SSO and mobile app surfaces, with emphasis on reliability, delivery, product quality, and healthy teams.
• Expedia mobile product leadership. Management and leadership over mobile travel app work, including FlightTrack 5, with collaboration across product, design, and platform teams.
• Practical AI adoption for engineering teams. Patterns for using AI in planning, prototyping, code review prep, documentation, and reducing toil while preserving engineering judgment.
• Engineering operating practices. Lightweight systems for onboarding, planning, technical communication, and healthier execution in growing teams.

Formal writeups will be added only when the scope can be shared without confidential detail.

Media

• The Best Two-Factor Authentication App
• Regional Focus: Working in Ann Arbor, Living in Livingston County
• Tech Trek 2019 Interview
• Tech Talk 2018: Shawn Planko, Expedia
• Expedia on the CEO Podcast
• FlightBoard Webby Award