Hi, I'm

Eiichiro Iriguchi.

Backend Engineer — Azure × LLM

Building systems that deliver excitement to people.

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who i am

About

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

Skills

Work Personal Learning

Cloud / Azure

Azure Functions Azure Blob Storage Azure Entra ID Azure OpenAI Service Azure CI/CD

AI / LLM

LLM Application Dev Prompt Engineering RAG Architecture AI Agent Systems

Backend

C# ASP.NET Core Python FastAPI Node.js Hono REST API Design SQL Server

Frontend

TypeScript Angular React Next.js

Infrastructure

Docker GitHub Actions Vercel Cloudflare

Tools

Git / GitHub VSCode Linux

selected work

Projects

ghost & ink

Released

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).

Next.js Cloudflare Workers Hono TypeScript LLM SSE

DEBUG-ZERO

WIP

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).

Hono React Cloudflare Workers Durable Objects Open Source

AI Bot Management Platform

Released

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.

Azure OpenAI ASP.NET Core TypeScript Azure Blob Storage

RAG Portfolio API

Released

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.

RAG FastAPI LangChain Qdrant Python

RAG Evaluation Platform

Released

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.

RAG Evaluation FastAPI Next.js Supabase Python

Obsidian × Claude Code Workflow

Active

Automated daily report generation and knowledge management workflow using Claude Code and Obsidian Vault.

Claude Code Obsidian Automation TypeScript

zenn articles

Blog

get in touch

Contact

Work inquiries, technical discussions, or just a chat — all welcome.