I govern AI systems, shape product strategy, and manage stakeholder complexity across enterprise and EMEA-scale environments. My work sits at the intersection of human behaviour, institutional systems, and emerging technology — where the most consequential product decisions live.
Governing AI systems and refining interaction patterns across EMEA sites. Operating at the intersection of enterprise product ownership and emerging AI capability — defining how AI tools are integrated, monitored, and improved within institutional environments. Stakeholder management across multiple geographies and organisational layers.
Sole founder and product owner of DormDrop — a peer-to-peer circular marketplace PWA for Charles University dormitory students. Full product lifecycle from concept to live deployment: backlog ownership, sprint planning, stakeholder management with dormitory authorities and the university, and technical delivery across a vanilla JS / Supabase / WEDOS stack.
My approach to AI governance centres on the interface between human behaviour and AI capability — not just what the system can do, but what happens when real people use it inside real institutional constraints. That means defining interaction patterns, monitoring for drift, refining outputs, and building stakeholder confidence iteratively. AI governance is product ownership applied to systems that learn.
How a user prompts, frames, and responds to an AI system is itself a governance question. I work at the level of prompt architecture, response evaluation, and interaction pattern refinement — treating the human-AI dialogue as the primary unit of governance.
In enterprise environments, AI tools fail not because they are technically wrong but because stakeholders don't trust them. Building that trust iteratively — through transparency, documentation, and demonstrated reliability — is core product work, not a soft add-on.
Backlog management, sprint planning, stakeholder alignment, and roadmap ownership. Practiced both inside enterprise structures and as a solo founder building from zero.
Prompt architecture, response evaluation, and interaction pattern refinement. Designing for how people actually use AI — not how they ideally would.
Managing complex, multi-geography stakeholder environments — from dormitory authorities and university offices to EMEA-scale enterprise leadership.
Approaching product problems as system problems — mapping constraints, incentives, and failure modes before reaching for solutions. Informed by research background in STS and post-phenomenology.
Sprint ceremonies, backlog grooming, velocity tracking, and retrospective facilitation. Applied in both enterprise and solo-founder contexts.
User research, qualitative analysis, and evidence-based prioritisation. Product decisions grounded in what people actually do, not what they say they do.
Active learning program underway. SAP Learning certifications in progress. Bridging the gap between governance expertise and platform-specific knowledge.
DormDrop serves as live production experience — real users, real constraints, real technical decisions. Actively building the delivery track record that complements governance expertise.
Particularly interested in roles at the intersection of agentic AI, enterprise systems, and human-centred product thinking. Full Czech labour market access — no sponsorship required.