Machine learning engineer with hands-on experience in domain-specific applications and industry collaborations. Skilled in applying ML models to real-world problems and delivering reliable solutions. Seeking opportunities in Software Engineering, Machine Learning, and Firmware Development.
About
Education
National Taiwan University, MS in Data Science, College of Electrical Engineering and Computer Science
Sep 2024 – Present
- MIRLAB (Multimedia Information Retrieval Lab)
- GPA: 3.93/4.3
- Courses: Machine Learning, Information Retrieval and Extraction, Computer Vision Practice with Deep Learning, Natural Language Processing, Multimedia Security, High-Performance Big Data and Artificial Intelligence Systems
Soochow University, BS in Data Science
Sep 2020 – June 2024
Work Experience
TSMC - AI Engineer Intern
Jul 2025 - Aug 2025
- Implemented graph-based RAG models for domain-specific applications, achieving more reliable cross-document reasoning and minimizing hallucinations compared to Regular RAG.
Projects
Collect dialysis clinical data and establish a model of chronic kidney disease
Sep 2024 - Present
- Developing an end-to-end monitoring system for predicting Intradialytic Hypotension risk in dialysis patients, optimizing and balancing True Positive Rate and True Negative Rate to achieve optimal clinical effectiveness. A version of this system has already been deployed in the hospital.
- Collaborated with National Taiwan University Hospital
Revenue forecasting based on machine learning techniques
Nov 2023 - Dec 2024
- Applying ML techniques with expert forecasts for 6-month revenue prediction, achieving 1.5x performance improvement when incorporating expert input for the upcoming month.
- Collaborated with MediaTek Inc.
Publications
Establishment of an Automatic Crop Classification and Disease Detection System: Applied to Apple and Tomato Disease Detection
2024
Ming-Hsiang Su, Cheng-Yen Lee
Journal of Advanced Technology and Management
Named Entity Recognition for Chinese Healthcare Applications
2023
Cheng-Yen Lee, Ming-Hsiang Su, Matus Pleva, Daniel Hládek, Yuan-Fu Liao
IEEE ICCE-TW 2023
Deep Learning Technology and Ensemble Modeling for Text-Based Personality Trait Detection
2023
Cheng-Yen Lee, Ming-Hsiang Su
2023 DLT Digital Life Technology Conference
Skills
AI & Machine Learning
Machine Learning, Deep Learning, Data Science, Natural Language Processing, Computer Vision
Programming Languages
Python, C/C++