Process MakesPerfect
11 years of experience across Product Design, Product Management, and Artificial Intelligence.
Ask, Discover, Define.
Align, Design, Refine.
Test, Test even more, Deliver.
Learn. Repeat.
What I do
I am a Product Designer, Product Manager, and Agile-Certified Product Owner [CSPO] with full-stack development experience.
I believe that -if we are not already there- we are quickly approaching the day where the value we create is driven less by what we can do, and more by the questions we can ask. I focus on the fundamentals which enable people and teams to ask better questions, and achieve a greater, more sustainable result.
How I do it
I clarify the intersection of end-user needs, stakeholder priorities, and business objectives, translating them into well-defined design and development scopes. I apply data-driven signal to inform prioritization and roadmaps that teams can execute with confidence, paired with thoughtful, high-quality user experiences.
Why I do it
I love finding simplicity on the other side of complexity, enabling experts to do their best work, amplifying their impact. Product Teams I have worked on have:
- Simplified ML/AI model creation, iteration & optimization in highly technical, distributed industrial domains
- Cut methane-emitting events (a greenhouse gas 28x-80x more potent than carbon dioxide at trapping heat) by more than half across installations
- Equipped experts with tools and seamless workflows to conduct their best work (Data Scientists, Production Engineers, Cybersecurity Analysts, Materials Scientists, Business Leaders)
- Saved millions in uptime and operational efficiency gains across global manufacturers
- Established a legal and technical framework for user-owned data and the data their agents create
- Built state-aware, autonomous software agents capable of advanced digital property rights compliance & audit, royalty distribution
- Developed an economic model & technical principles supporting derivative works of contributed intelligence, sustaining incentive & provenance of IP across generations of AI