About
Systems architect who entered through design. Builds AI-powered products, design systems, and full production infrastructure from scratch in complex and regulated domains.
- Designs and deploys AI systems where independent models verify each other’s work before output reaches users.
- Enters unfamiliar domains cold, reaches operational depth, and ships complete products across design, engineering, and strategy without requiring existing teams or precedent.
- Has operated as the sole designer in engineering-driven organizations, built entire design functions from nothing, and founded and run a global agency.
- Work spans enterprise software, consumer hardware, wearable technology, broadcast media, defense, and regulated industries.
Languages
Work Authorization
U.S. Permanent Resident
No sponsorship required
Education
Macromedia University of Applied Sciences
Bachelor of Arts in Communication Design
Munich, Germany
Awards
Principle 01
Know the craft you delegate
Effective delegation requires direct understanding of the work being delegated. Standards, constraints, and execution realities must be understood at the operational level to distinguish between work that must be owned and work that should be entrusted to specialized expertise. When work falls outside that boundary, responsibility is assigned to specialists and allowed to proceed without interference.
Principle 02
Presence under load
During periods of sustained pressure, leadership is expressed through presence rather than intervention. Stability is maintained by remaining available, managing constraints, and removing friction. Under load, the role is to stabilize the system: unblock decisions, protect focus, manage logistics, and remain accountable alongside the team.
Principle 03
Planned error
Execution under uncertainty produces mistakes. These are accounted for as part of delivery rather than treated as loss. Time and resources are allocated for correction and adjustment in the same way they are allocated for training or tooling.
Areas of Interest
Domain
AI product design, enterprise workflow software, platform UX, and regulated domains where trust, verification, and accuracy are non-negotiable.
Environment
Product-driven organizations building complex systems where design decisions carry real consequences. Multi-product suites, technical user bases, and domains where getting it wrong has measurable cost.
Responsibilities
- Own UX architecture and product design strategy
- Design AI-powered workflows and human-AI interaction patterns
- Build and govern design systems at scale
- Lead end-to-end product delivery from ambiguity to production
- Translate domain complexity into usable, trustworthy product experiences
