Portfolio
Portfolio
I turn messy product problems into clear structure, usable flows, and credible interfaces
About
Dima Ginzburg
Product Designer focused on AI-native and early-stage products
I design agentic experiences - shaping how systems reason, act, and interact with users across flows, not just screens. Moving beyond interfaces, I focus on behavior, orchestration, and generated outcomes - translating product ideas and AI capabilities into clear, usable systems.
- Agentic flows
- AI systems
- Interaction models
- End-to-end design
Cover

Skills and tools
/ skills
Product & User Experience
- Product strategy
- UX system
- Product framing
- Product narratives
- Interaction design
Research & Validation
- JTBD
- User research
- Persona hypothesis
- CJM
- A/B testing
Delivery & Execution
- Prototyping
- Wireframing
- Micro-interaction
- Design systems
- shadcn/UI Kit
AI Product Design
- AI-assisted UX
- Prompt prototyping
- Design automation
- Agent workflows
/ tools
Design
- Figma
- Sketch
- Adobe XD
- Framer
- Stitch
AI IDE
- Codex
- Claude Code
- Cursor
- Windsurf
- 1Code
Past projects
/ Past projects

RZD • Sanatorium & Resort Booking Service
Turning a complex internal booking process into a predictable and repeatable system

Russian Railways • Enterprise Communicator UX
Designing a component-driven interaction system under legacy constraints

Megamod • Structuring a Multi-Product Narrative
Scaling product complexity through a unified communication layer

Travel Booking Platform • Decision-Driven UX
Helping users move from vague intent to confident booking
/ BUILDS
Deus in Machina
Design System Runtime (DSR) — enforcement + structure + runtime for design systems — focused on token normalization, pattern inference, and UI validation with a fix loop
DEUS-IN-MACHINAAssistant Workflow
Deterministic AI workflow with Phase → Block → Task → Session, approval gates, and file-based context
GITHUBDesign Token Auditor
AI-powered design token analysis for JSON files with scores, stats, and actionable recommendations
GITHUBShimlayer
HITL API layer for last-mile failures in AI-agentic workflows
GITHUB