Hello, I'm Andy Chen

An Engineer Focused on AI Applications &
Big Data

Dedicated to building efficient and scalable AI and data engineering solutions. With comprehensive experience from data analysis to AI application development, I am passionate about utilizing technology to create real-world value.

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About Me About

Andy Chen Profile Picture

Extracting insights from data, creating real value with AI.

Hello, I am Andy Chen, an AI Application Engineer focused on artificial intelligence applications and big data analysis.

My career journey is a cross-disciplinary journey of growth. Early on, I was involved in supply chain risk management, where I deeply realized the impact of data. This led me to complete a 600-hour Big Data Analytics training program at the Institute for Information Industry (III), officially transitioning into a Data Engineer. Subsequently, I served at MediaTek and TSMC, accumulating solid practical experience in building large-scale enterprise data pipelines (ETL) and system analysis in rigorous industry environments.

To further deepen my expertise in the AI field, I pursued a Master of Business Administration in Management of Technology at National Yang Ming Chiao Tung University (NYCU), majoring in machine learning, and participated in the "AI Rising Star Program". This experience, combining deep technical knowledge with business acumen, equips me with the unique advantage of "understanding both technology and business logic."

In the technical domain, I am passionate about developing efficient and scalable solutions. Whether applying computer vision technology, developing AI applications based on LLMOps and Multi-Agent architectures, or building automated testing frameworks, I can independently complete end-to-end development. I also excel at serving as a communication bridge across departments in dynamic project environments, ensuring that technology precisely solves real business pain points.

Stepping away from code and terminal windows, I love exploring different corners of the world through travel, and I also enjoy the peaceful time of delving into the flavors of pour-over coffee. For me, whether it's brewing a great cup of coffee or writing elegant code, it requires the same focus and attention to detail.

Education Education

National Yang Ming Chiao Tung University (NYCU)

2023.07 – 2025.08

Master of Business Administration in Management of Technology

GPA: 4.3/4.3

Thesis Research: Integrating Structured and Semantic Features for Semiconductor Patent Survival Prediction Based on Machine Learning Modeling

  • Extracted semantic embeddings from over 150,000 U.S. semiconductor patents using pre-trained language models, and performed heterogeneous data fusion with structured variables.
  • Constructed and validated multiple machine learning and stacking ensemble models, demonstrating that integrating semantic features significantly improves the early prediction accuracy of patent value.

National Cheng Kung University (NCKU)

2011.09 – 2015.06

Bachelor of Arts in Foreign Languages and Literature

Experience Experience

Phison Electronics

2024.10 – 2025.04

AI Application Engineer

  • Automated Detection Framework Development: Built a Python-centric detection framework integrated with GitLab version control. Enabled cross-departmental testing processes to call the main program via Git for log analysis, automatically identifying firmware test failure causes and writing back to Jira, significantly reducing manual troubleshooting time.
  • LLM-Driven Detection Module Generation Platform: Implemented a containerized web application using the Flask framework and integrated the OpenAI API. Allowed R&D personnel to generate Python detection modules using natural language descriptions of decision logic, greatly enhancing rule expansion efficiency.
  • AI Agent Automated Validation & One-Click Deployment: Introduced AI Agent workflows to automatically validate the logical correctness of generated modules, and implemented a "One-Click Push to GitLab" feature, ensuring new rules are immediately merged and called in the main automated testing pipeline.
  • Detection Performance Monitoring & Optimization: Established Tableau dashboards to continuously monitor detection accuracy and failure mode distribution, providing data-driven insights for ongoing refinement of the automated analysis process.

Wistron ITS — Dispatched to TSMC

2022.08 – 2024.04

Data Engineer / Data Analyst

  • Enterprise Audit Data Analysis: Analyzed tens of millions of IT system records in the internal audit department, identifying operational risks such as FAB component lifecycles, asset tracking, vendor bid rigging, and pricing trends.
  • ETL Pipeline Development: Built automated ETL pipelines using Python (Pandas/NumPy) and SQL (SAP/Oracle). Performed statistical analyses, including IQR, correlation coefficients, and coefficients of variation, to detect anomalies.
  • Automated Data Collection & Visualization: Developed web crawlers to supplement external data sources and designed interactive Power BI dashboards to translate risk indicators into intuitive analytical results, supporting the audit decision-making process.

Acer Synergy Tech — Dispatched to MediaTek

2021.11 – 2022.07

Data Engineer / Data Analyst

  • Automated Reporting System: Built data pipelines utilizing BigQuery, Airflow, and Oracle DB. Responsible for Tableau report development, maintenance, and DA Portal management.
  • Chip Performance Analysis System: Participated in the development of a mobile phone performance and power consumption comparison system, using Python to implement current calculation and conversion logic across various scenarios.
  • Cross-Team Collaboration & Integration: Served as a PM Assistant, coordinating requirements between AI and full-stack development departments, ensuring system functional testing and version releases were completed on schedule.

Microsoft Corp

2019.10 – 2021.06

Material Planner

  • Supply Chain Risk Management: Managed material tracking and BOM risk control for Cloud Hardware NPI (New Product Introduction) projects. Leveraged Power BI to maintain visualization dashboards, providing the team with data-driven insights for real-time decision-making.
  • Risk Early Warning Mechanism: Conducted BOM Scrubbing to audit End of Production (EOP) dates and Lead Times. Issued proactive alerts to mitigate and eliminate potential supply chain disruption risks.

Wistron Corp

2017.02 – 2019.06

Procurement Specialist

  • Procurement Process Execution & Optimization: Managed bidding, price negotiation, and supplier management for enterprise assets and equipment. Optimized supply chain workflows to ensure cost-effectiveness and quality control.

Skills Skills

Programming

Python SQL Java JavaScript HTML CSS

Machine Learning / AI

PyTorch Scikit-learn OpenCV HuggingFace Transformers RAG OpenAI API

AI App Development

LLMOps LangGraph AutoGen vLLM API Integration Flask

Data Engineering

Pandas NumPy Web Scraping ETL Pipeline Hadoop

System & DevOps

Linux Docker Kubernetes Git GitLab CI/CD

Database & Viz

Oracle PostgreSQL MySQL BigQuery Power BI Tableau Streamlit

Certifications Certifications

Microsoft Certified

Azure AI Fundamentals AI-900

Microsoft Certified

Azure Fundamentals AZ-900

Google Cloud

Getting Started with Google Kubernetes Engine

TOEIC

920 / Gold Certificate

Training Training

Core Professional Programs

  • AI Rising Star Program - AI Architect | 620 Hours
    NYCU Artificial Intelligence Office | Co-organizers: Phison, Microsoft
    2025.10 – 2026.09
    Comprehensive AI practical training (Cloud × On-Premises × Edge), including 320 hours of professional training and 300 hours of hands-on LABs.
    • AI & Generative Technologies: Covered machine learning and deep learning theories, delved into Generative AI (GenAI), and implemented Retrieval-Augmented Generation (RAG) and Vibe Coding development.
    • System Networking & Model Deployment: Acquired System Administration and CCNA network planning/management skills, and gained familiarity with vLLM inference acceleration and LLMOps practices.
    • Cloud Platforms & Automation: Integrated Microsoft Azure practical applications (including AI-900 certification) and Power Platform, and built automated workflows using n8n.
    • Comprehensive LAB Implementations: Dedicated 300 hours to various hands-on LABs, focusing on hardware architecture, model inference acceleration, and cloud integration to practically implement enterprise-grade AI solutions.
      View Program Details and Syllabus (PDF)
  • Big Data Analytics Professional Training Program | 600 Hours
    Institute for Information Industry (III)
    2021.06 – 2021.11
    Acquired end-to-end development capabilities from data collection and big data computing to model building.
    • Data Analysis & Machine Learning: Applied Python for data processing, analysis, and web scraping, and implemented machine learning and deep learning algorithms.
    • Big Data & System Architecture: Familiarized with the Hadoop big data processing platform and Spark development practices. Gained the ability to manage Linux systems and build Docker containerized virtual environments.
    • Databases & Web Applications: Integrated MySQL database practices and acquired development experience with Java programming, JavaScript, and Python web application frameworks.
    • Final Practical Project: [Greater Taipei Housing Price Prediction]: Combined Python web scraping to acquire external data, performed data cleaning and feature engineering, and introduced machine learning algorithms to build a housing price prediction model, completing the group final project production and presentation.
      View Final Project Presentation (PDF)

Technical Advancement & Cross-Disciplinary Learning

  • Deep Learning and Implementation of Artificial Intelligence | 54 Hours
    Chinese Culture University
  • Python Web Scraping, Data Analysis and Practical Applications | 141 Hours
    National Federation of Independent Trade Unions
  • Advanced Excel and Power BI Data Analysis | 42 Hours
    Taipei Labor Service Personnel Union
  • Big Data Analysis and Applications | 36 Hours
    National Taiwan University of Science and Technology
  • Specialty Coffee Brewing | 42 Hours
    Taiwan Cultural and Creative Industry Development Association

Projects Projects

EvoFace - AI Face Recognition Attendance System

2026.01 – 2026.02

Independently developed a face recognition system based on OpenCV and InsightFace, integrating MiniFASNet for liveness detection. To handle high-load attendance check-in scenarios, I introduced SQLite WAL Mode (database concurrency optimization) and an asynchronous multi-threading (QThread) architecture, ensuring smooth and stable frontend UI rendering and backend image inference.

OpenCV InsightFace SQLite PyQt/QThread
View Source Code

AI Presentation Generation System

2025.12 – 2026.01

Constructed a Multi-Agent collaboration architecture using LangGraph, realizing an end-to-end production process from user requirement analysis and content outline generation to slide layout. Precisely utilized State Management technology to overcome the context loss and coherence challenges often encountered when LLMs execute complex, long-running tasks.

LangGraph Multi-Agent LLM Prompt Engineering
View Source Code

Edge AI Translation Microservice

2026.03 – 2026.04

A scalable and decoupled AI translation microservice built for edge computing. Utilized FastAPI for backend API routing, fully decoupled from the Ollama LLM inference engine. Implemented automated container deployment (LLMOps) via Docker Compose with an auto-pull mechanism, strictly adhering to 12-Factor App principles for zero hardcoding and high extensibility.

FastAPI Ollama Docker LLMOps Microservices
View Source Code

n8n AI Travel Planner

2025.11 – 2025.12

Built an AI agent system integrating multiple external APIs based on the n8n node-based architecture. Implemented dynamic workflows and a fact-checking mechanism, integrating external data to mitigate LLM hallucination issues, demonstrating practical capabilities in API integration and automated workflow orchestration.

n8n API Integration Workflow Automation
View Source Code

Contact Contact

If you are interested in my projects, or have any full-time or collaboration opportunities, feel free to contact me through the following channels!

Email

chenkuanchung810905@gmail.com

Phone

+886-921-664729

Location

Toufen City, Miaoli, Taiwan