AI Systems Engineer based in Japan 🇯🇵
Building real-world AI systems powered by RAG, edge AI, and intelligent workflows.
- 🧠 Retrieval-Augmented Generation (RAG) systems
- 📄 Multi-source document understanding (PDF / HTML / Office / OCR)
- ⚙️ LLM application engineering (local-first & cloud hybrid)
- 🔗 AI workflow orchestration & agent systems
AI signal mining platform
→ Extracts actionable insights from papers, models, and GitHub trends
End-to-end RAG system
→ From document preprocessing to retrieval and QA
Python · FastAPI · Docker · Elasticsearch
Ollama · Azure OpenAI · Vector DB · Prompt Engineering
- Edge AI deployment for real-world environments
- Designing RAG evaluation frameworks from scratch
- Multi-agent architectures (Aegis)
- Scalable AI system design for production use
Some repositories are forks for learning and reference.
Public demo repositories are being prepared to showcase core capabilities.