Eddy Chen

Machine Learning Engineer

  New Taipei City, Taiwan

2 years of experience in self-driving car project and  focus mainly on object detection, sensor fusion and sensor calibration.

3+ years of experience in machine learning. Used to conduct research  in medical AI projects and possess experience in implement real-world end-to-end ML project .


    

Skills

Programming Languages 

  • Python
  • C++
  • SQL

Machine Learning

  • TensorFlow
  • Pytorch
  • Scikit-learn
  • Matplotlib

Others

  • FastAPI
  • Docker
  • Redis
  • Linux

Certification

  Taiwan AI Academy - AI Technical Professionals Program

  NVIDIA DLI Certificate – Applications of AI for Anomaly Detection

Work Experience

Machine Learning Engineer

NEUTEC  •  May 2021 - Present

  • Develop, optimize and maintain the machine learning algorithm for internal process automation.
  • Deploy machine learning models as web services or on edge devices.

NEUTEC

Project Engineer

ACER  •  Nov 2017 - Apr 2021

【Deep Learning】

  • Cardiac Ejection Fraction Estimation
    • Video classification model training for estimating ejection fraction scores.
    • Semantic segmentation model training for identifying ventricular contractions and providing visualization.
  • Fall Detection
    • Implemented real-time fall detection for multiple persons by using LSTM neural network combined with features obtained via human pose estimation.
    • Experiments design and collect training data.


【Self-Driving Car】

  • Perception
    • Developed sensor fusion algorithms that combine data from multiple sensors (LiDAR, radar, camera, etc.) to generate a more accurate and reliable understanding of the environment.
  • Software Integration
    • System integration and real car tests at Taiwan CAR Lab and Taipei University.

Education

National Taipei University of Technology

Institute of Mechatronic Engineering  •  2015 - 2017

【Research Field】

- Computer vision and image processing

- Advanced Driver Assistance Systems (ADAS)

【Journal and Conference】

- SCI paper is accepted 

Around View Monitoring-Based Vacant Parking Space Detection and Analysis

- Oral presentations at conference

A visual method for the detection of available parking slots

Tech