Senior AI-Native Product Designer
Operational UX • Human-AI Interaction • Spatial Systems • Code-First Prototyping

I bridge product design, AI workflow architecture, and production code. With 13+ years of enterprise experience, I help teams turn dense, complex operational domain problems into intuitive, human-centered systems—from high-density spatial dashboards to probabilistic AI Copilots with strict Human-in-the-Loop (HITL) boundaries.

🌍 Based in Kraków, PL (Remote / Hybrid)
✉️ Website · LinkedIn · GitHub

• SpotCamp — Live 0-to-1 geospatial discovery platform built with Next.js, Supabase, PostGIS, MapLibre GL, and Claude AI content pipelines.
• Fragment UI — Code-first, AI-ready design system built on React, TypeScript, Tailwind CSS, and Radix UI with embedded MCP Server rules for AI coding tools (Cursor / VS Code).

• Eclipse OS — Real-Time Mission Control
  I led discovery/UX and designed the mission timeline, map-linked sensors/cameras, POIs, and role-based views; set patterns and hi-fi prototypes.
• SpacetimeOS — Operating System for Physical Spaces
  I defined product primitives and the interaction model, designed situational-awareness/alert flows, and established a cohesive design language.
• Workplace Safety — Privacy-First Contact Tracing
  I designed opt-in, privacy-first contact-tracing flows with data minimization, risk states/notifications, and role-based dashboards and consent.

• AI Copilot & Code-First Prototyping: Rapid, fully functional proofs-of-concept built directly in code (React, Tailwind, Cursor AI, Claude, Lovable) to compress validation cycles from weeks to days.
• Operational & Spatial UX Architecture: Simplifying complex workflows, designing for high-density spatial data, situational awareness dashboards, and explicit exception/failure handling.
• Human-AI Interaction & System Trust: Defining automation boundaries, confidence scoring states (High/Medium/Low tokens), and Human-in-the-Loop (HITL) approval workflows.
• DesignOps & Code-First Systems: Establishing token engines, component registries (npx shadcn add), design-to-engineering handoff, and MCP server rules for AI-assisted development.

Design & Research   :: Figma, Dovetail, Miro, Spatial UX, Information Architecture, Usability Testing
Code & Frameworks   :: React, TypeScript, Next.js, Tailwind CSS, shadcn/ui, Radix UI, PostGIS, MapLibre GL
AI & Tooling        :: Cursor AI, Claude API, Lovable, MCP Servers, VS Code, Supabase, Git/GitHub