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luy869/README.md

こんにちは、ゆうです

東京工科大学 コンピュータサイエンス学部 2年生
HRCloud Inc. バックエンドエンジニア (2025年9月~)

ローカルLLM、バックエンド開発、インフラ構築に興味があります。

使える技術

言語: Python, Go, TypeScript, PHP, Node.js
AI/LLM: Ollama, PyTorch, Gemini API, ChromaDB
その他: Docker, React, FastAPI, PostgreSQL

リンク

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  1. rag-platform rag-platform Public

    Python

  2. homelab homelab Public

    Self-hosted home-server monorepo: local-LLM RAG chat + CLIP image recommendation behind Cloudflare Tunnel, orchestrated with Docker Compose (dual-GPU Ubuntu).

    Go

  3. my-portfolio my-portfolio Public

    HTML

  4. palette-vein palette-vein Public

    壁紙発掘サービス。CLIPによる推薦と推薦理由

    Go

  5. whisperx-project whisperx-project Public

    JavaScript

  6. lc-tut/tut-bus lc-tut/tut-bus Public

    TUT Bus Navi is a web application that provides school bus timetables and route information for Tokyo University of Technology, helping students and staff easily check commuting bus schedules.

    TypeScript 3