Summary
Overview
Work History
Education
Skills
Timeline
Generic

Yang Zhe-Lun

Software Engineer
Taichung

Summary

I am a graduate student at National Taipei University of Technology, majoring in Computer Science. My expertise lies in AI, Computer Vision, Backend Development, and Frontend Development, with a strong focus on Machine Learning and Deep Learning applications.

I have experience developing computer vision-based systems, including bladder cancer cell detection using YOLO and Vision Transformers, and an action recognition system for monitoring disinfection compliance using Mediapipe and YOLOv8. Additionally, I have worked on backend management systems using Java and MySQL and developed cross-platform mobile applications using Flutter.

I am proficient in Python, TensorFlow, PyTorch, and have experience in deploying AI models with Flask, FastAPI, and cloud platforms like AWS and GCP. My goal is to leverage my expertise to contribute as a Machine Learning Engineer, focusing on developing and optimizing AI models for real-world applications.

Overview

3
3
years of professional experience
2
2
Languages

Work History

Graduate Research Assistant

National Health Research Institutes(Taiwan)
09.2024 - Current
  • Developed an action recognition system for surveillance to monitor whether individuals follow proper disinfection procedures. Utilized YOLOv8 for object detection and Mediapipe for pose estimation.

Graduate Research Assistant

National Taipei University of Technology
04.2023 - Current
  • Participated in regular meetings with project supervisors, providing progress updates and discussing potential challenges or areas for improvement.
  • Focused on researching and developing a bladder cancer cell detection system, primarily utilizing Computer Vision and various Machine Learning techniques. Proficient in object detection and classification models such as YOLO and Vision Transformer. Experienced in Python and its extensions, including PyTorch and TensorFlow.
  • Developed and optimized deep learning models for medical image analysis, enhancing detection accuracy through data augmentation, transfer learning, and hyperparameter tuning. Evaluated model performance using precision, recall, F1-score, and ROC-AUC metrics. Integrated the detection system with backend services using Flask/FastAPI for real-time inference. Worked closely with medical professionals to refine the model based on clinical feedback.

Software Engineer

Union Bank
07.2022 - 07.2023
  • Developed a video-based online contract verification system using Flutter to facilitate secure transactions for clients who needed to complete verification processes remotely during the pandemic.
  • Developed a backend management system using Java and MySQL to enable bank staff to manage contract verification data efficiently.
  • Maintained and refactored the existing client-side online banking app code to improve performance and stability.

Education

Master of Science - Computer Science

National Taipei University of Technology
Taipei
04.2001 -

Skills

Curriculum implementation

Teamwork and collaboration

Problem-solving

Research methodologies

Timeline

Graduate Research Assistant

National Health Research Institutes(Taiwan)
09.2024 - Current

Graduate Research Assistant

National Taipei University of Technology
04.2023 - Current

Software Engineer

Union Bank
07.2022 - 07.2023

Master of Science - Computer Science

National Taipei University of Technology
04.2001 -
Yang Zhe-LunSoftware Engineer