AI-native product strategy
Senior/staff portfolio
Kenichi Shinagawa
AI Product Systems Architect bridging design systems, frontend engineering, developer experience, and AI-native software development.
Core tagline
“I design AI-native systems that connect design, engineering, and product development.”
Positioning
Systems thinking for teams shipping with AI
The work sits between product taste, implementation detail, and operational clarity: the place where strong product organizations turn ambiguity into repeatable delivery.
Design systems architecture
Frontend platform engineering
Developer experience
Human-in-the-loop workflows
Accessibility and QA systems
Workflow
From product idea to delivery system
01
Frame the product system
Translate ambiguous product intent into audience, value, risk, UX assumptions, and delivery constraints.
02
Design the operating model
Map components, tokens, content states, implementation paths, and the decision points that stay human-owned.
03
Ship with AI-assisted rigor
Use AI to accelerate scaffolding, variants, tests, and documentation while preserving review, taste, and accountability.
Selected work
Case-study directions
Polished placeholders for senior-level portfolio narratives, ready to replace with real project detail when available.
Platform team modernization
AI-Native Design System
Designed a component and token model that let product squads generate consistent UI faster without losing craft.
- Reusable UX patterns
- Token governance
- AI-ready component specs
Frontend engineering enablement
Developer Experience Blueprint
Created a delivery workflow for prompts, code review, testing, and documentation across a growing product surface.
- Faster onboarding
- Clear review gates
- Shared implementation language
0-to-1 product exploration
Product Concept to MVP
Turned a loosely defined AI product idea into a scoped architecture, UX narrative, and buildable release plan.
- Sharper product brief
- MVP route map
- Accessible delivery checklist