• Business card
• Personal collection

• 🏠   From Taiwan TW: and currently based in Taipei, Taiwan
• 💬   Talk to me about Full Stack, Docker and Data Engineer

I built a GitHub Data Analytics Pipeline leveraging GCP, Airflow, and BigQuery to automate the processing of GitHub Watch events and deliver real-time insights into open-source trends and developer engagement via a Streamlit dashboard.

I built a clothing recommendation platform that integrates web scraping, ETL, Redis caching, a FastAPI backend, and a React frontend to provide outfit suggestions based on location styles, color palettes, and gender filters.

I built a full MLOps pipeline for stock price prediction, featuring automated ETL, model training, experiment tracking, real-time inference, monitoring, and CI/CD—powered by FastAPI, Prefect, MLflow, and Grafana on a Dockerized infrastructure.

I built an AI-powered ArXiv Knowledge Retrieval Platform, implementing daily ingestion of papers, PDF/metadata storage (PostgreSQL/MinIO), vector-based retrieval (Qdrant), and LLM-powered Q&A with bilingual support, alongside a React dashboard for query history, analytics, and subscription management, orchestrated via FastAPI and Prefect, fully containerized with Docker and monitored with Prometheus/Grafana.

• Python
• Learn frontend and backend
  • Fronted :
    • My Business Card
    • resign-stamp
    • to-do-list
    • habit-tracker
    • self-reusme-website
  • Backend
    • clothes-outfit
• C# and unity develop app
  • 中英單字問答遊戲
  • Age-related Macular Degeneration Rehabilitation Platform
• Design Pattern/System Design
• Full Stack Developer(Frontend + Backend + DB + Algo)
  • ML/DL/GenAI
    • Stock Price Prediction with MLOps
    • Arxiv Knowledge Assistant
• Data Engineer (DB + ETL)
  • daodao-etl
  • GitHub Data Analytics Pipeline
• DevOps
  • monitoring_system

I built a GitHub Data Analytics Pipeline leveraging GCP, Airflow, and BigQuery to automate the processing of GitHub Watch events and deliver real-time insights into open-source trends and developer engagement via a Streamlit dashboard.
🔧 Tech Stack: GCP, Airflow, BigQuery, Python, Streamlit, Terraform

I built a clothing recommendation platform that integrates web scraping, ETL, Redis caching, a FastAPI backend, and a React frontend to provide outfit suggestions based on location styles, color palettes, and gender filters.
🔧 Tech Stack: MySQL, Redis, FastAPI, React, Tailwind CSS, Docker Compose

I built a full MLOps pipeline for stock price prediction, featuring automated ETL, model training, experiment tracking, real-time inference, monitoring, and CI/CD — powered by FastAPI, Prefect, MLflow, and Grafana on a Dockerized infrastructure.
🔧 Tech Stack: Prefect, MLflow, FastAPI, Prometheus, Grafana, PostgreSQL, ClickHouse, Docker Compose, GitHub Actions

I built an arXiv paper knowledge retrieval platform, implementing a complete data ingestion, vector-based retrieval, LLM RAG, and visual Dashboard system. Users can query paper abstracts, PDFs, and citation sources; developers can configure automated ingestion workflows, manage vector indexes, monitor model performance, and extend the system with personalized RAG strategies.
🔧 Tech Stack: FastAPI, Prefect, Qdrant, PostgreSQL, MinIO, React, Docker Compose, Prometheus, Grafana

To strengthen my expertise in AI and Data Science, I’ve earned multiple industry-recognized certifications, including:

On-Going

• LLM Zoomcamp on-going (DataTalks Club)

2025

• MLOps Zoomcamp on-going (DataTalks Club)
• Data Engineering Zoomcamp Graduate (DataTalks Club)

2023

• Generative Adversarial Networks(GANs) Specialization

• Google Data Analytics

• Data Science Fundamentals with Python and SQL Specialization

• Accelerated Computer Science Fundamentals Specialization

2022

• Deep Learning Specialization
• Python for Everybody Specialization