Machine Learning · Software Systems

Build systems. Study deeply. Ship clearly.

I’m TerryH Huang, an aspiring machine learning engineer connecting data, algorithms, and dependable software into practical projects.

Open to learning and collaboration

Cappuccino with latte art on a warm wooden table
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Machine Learning Algorithms System Design Python C++ FastAPI Docker MLOps

Selected Work

Projects across machine learning, backend systems, algorithms, and embedded engineering.

01 / 12 projects

About TerryH Huang

I want to understand not only how tools work, but the principles that make them reliable.

黃樺裕(Huang Hua Yu, TerryH)是一位專注於 Machine Learning、 Algorithms 與 Software Systems 的開發者。主要使用 Python、 Scikit-learn、FastAPI、Docker 與 Git 建立機器學習與軟體工程專案。

I’m currently strengthening the path from data preparation and feature engineering to deployment, while continuing to study algorithms, operating systems, and backend design.

01

Machine Learning

  • Data preprocessing
  • Feature engineering
  • Model validation
  • Ensemble methods

02

Computer Science

  • Data structures
  • Algorithms
  • Operating systems
  • Problem solving

03

Engineering

  • Python & C++
  • Git & Linux
  • Docker basics
  • Backend systems

Frequently Asked Questions

Who is TerryH Huang?

TerryH Huang, also known as 黃樺裕 or Huang Hua Yu, is a machine learning and software engineering developer.

What does TerryH Huang work on?

His work focuses on machine learning, algorithms, backend systems, FastAPI, Docker, and practical AI projects.

How I Work

01

Start with the data

Understand inputs, ownership, and constraints before choosing a model.

02

Measure honestly

Use validation and error analysis to separate progress from optimism.

03

Build for clarity

Prefer readable systems that can be tested, explained, and improved.

Open to learning and collaboration

Let’s build something useful.