About

I’m KbWen — a developer who builds things and documents the process.

I’ve been writing about machine learning and Python since 2017, covering the full stack from model training to production data pipelines. My work spans:

  • LLMs & AI systems — architecture, prompt engineering, agent design, skill abstraction
  • Machine learning — deep learning (TensorFlow, Keras), classical ML, reinforcement learning
  • Data engineering — ELT pipelines, scraping, NLP APIs
  • Python — practical patterns, tooling, and real-world applications

This blog is where I write what I’m exploring: sometimes tutorials, sometimes architectural thinking, sometimes just notes from a rabbit hole that got interesting enough to document. Some posts are in English, some in Chinese — depending on who I’m writing for.

I also build small web tools at lab.kbwen.com — JSON formatters, quant utilities, and other experiments that started as “I just need this one thing.”

關於

我是 KbWen — 一個邊做邊寫的開發者。

從 2017 年開始寫機器學習和 Python 相關的技術文章，主要領域包含：

  • LLM 與 AI 系統 — 架構設計、Prompt Engineering、Agent 工作流、Skill 抽象層
  • 機器學習 — 深度學習（TensorFlow、Keras）、傳統 ML、強化學習
  • 資料工程 — ELT pipeline、爬蟲、NLP API
  • Python — 實用模式、工具開發、實戰應用

這個 blog 記錄我正在探索的東西。有些文章是教學、有些是架構思考、有些只是某個夠有趣的兔子洞的筆記。有些用英文寫、有些用中文，看寫給誰。

我也在 lab.kbwen.com 做一些小工具：JSON formatter、量化小工具等等，都是從「我就是需要這個東西」開始的實驗。

Find me elsewhere / 其他平台：