# Ken Imoto — Technical Expertise

## Core Specializations

### LLMO (LLM Optimization)
Making web content discoverable by AI systems (ChatGPT, Claude, Gemini, Perplexity). LLMO includes approaches such as AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization). Author of the LLMO Framework.

### Real-time AI & WebRTC
Building real-time communication systems with AI integration. WebRTC-based architectures for AI meeting participants and autonomous agents.

### Context Engineering
Designing AI-native development workflows using CLAUDE.md, AGENTS.md, and context files. Achieved 300% productivity boost in TypeScript development.

### AI Agent Design
Multi-agent architectures using MCP (Model Context Protocol), autonomous task execution, and distributed agent systems.

## Technical Stack

- **Languages**: TypeScript, Kotlin, Python, JavaScript
- **AI/LLM**: Claude Code, GPT-4, Gemini, Context Engineering, Prompt Engineering
- **Cloud**: AWS, Azure, Firebase, Google Cloud
- **Mobile**: Android (Kotlin/Java)
- **Web**: Astro, React, Next.js, Tailwind CSS
- **Protocols**: WebRTC, MCP (Model Context Protocol)
- **DevOps**: GitHub Actions, Docker, CI/CD

## Career Highlights

- 8+ years as a software engineer
- Robotics: Pepper × SLAM co-development with Aldebaran (SoftBank live deployment)
- Managed 5 parallel projects across AWS/Azure/Firebase simultaneously
- Published 12+ books on AI development, LLMO, and Context Engineering, in Japanese and English with select Portuguese and Spanish editions
- 123,000+ PV on Qiita across 90 articles (technical writing)