ghost & ink
Released5 AI personas simultaneously destroy your idea, then rebuild something unexpected from the wreckage. Built with 5 parallel SSE streams on Cloudflare Workers + Hono. Supports a free demo mode (Workers AI) and BYOK mode (OpenAI).
Hi, I'm
Backend Engineer — Azure × LLM
Building systems that deliver excitement to people.
who i am
Backend engineer with expertise in both Azure cloud infrastructure and LLM application development. I take full ownership from architecture design to production release.
I excel at identifying problems and transforming entire workflows — for example, I introduced an automated testing foundation to a team that had zero tests and relied on manual Excel sheets, reducing manual QA overhead by 96%. I have hands-on experience with Azure OpenAI Service, RAG, and AI agent architectures, and can handle the entire lifecycle of LLM applications in production.
Everything I build — engineering or creative — stems from one core motivation: to deliver excitement to people.
technologies
Cloud / Azure
AI / LLM
Backend
Frontend
Infrastructure
Tools
selected work
5 AI personas simultaneously destroy your idea, then rebuild something unexpected from the wreckage. Built with 5 parallel SSE streams on Cloudflare Workers + Hono. Supports a free demo mode (Workers AI) and BYOK mode (OpenAI).
An open-source card-based board game. Designing the game mechanics, lore, and rules from scratch. Building a real-time multiplayer foundation with Hono, React, and Cloudflare Workers (Durable Objects).
Built to solve a bottleneck where knowledge base registration required developer involvement. Designed a non-engineer-friendly management UI and shipped solo in one month. Enabled non-developers to register and manage knowledge bases directly, improving operational efficiency. Implements multi-bot configuration, LLM conversation settings, and KB lifecycle management.
Built to demonstrate RAG implementation skills directly — using myself as the use case. Recruiters can ask questions about my skill sheet in natural language. In production I run the same architecture on Azure AI Search + Azure OpenAI. This portfolio version uses free-tier alternatives (Qdrant Cloud, Groq + Llama 3.3) — same design, zero cost. Built with FastAPI, LangChain (LCEL), and SSE streaming.
Built to solve a common problem: RAG quality is often judged by feel. Automatically scores output quality (Relevance, Faithfulness, Completeness) and visualizes it in a Next.js dashboard. Integrates with 3 lines of code. Supports self-hosting.
Automated daily report generation and knowledge management workflow using Claude Code and Obsidian Vault.
zenn articles
get in touch
Work inquiries, technical discussions, or just a chat — all welcome.