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Zack Guo Zack is a Delivery Consultant in Deloitte Consulting A&C. He is experience in ETL architecture design, stored procedure development, report design and procedure performance tuning. 5+ years of custom ETL experience with SS&C's Algorithmics and Moody's RiskAuthority. 1+ year of SAP DWC ETL construction expericence in manufacturing and food industries. 1+ year of IFRS17 related data report development experience. Delivery Consultant Taipei, [email protected] Skills C++, Matlab, Python, PL SQL, PostgreSQL, MS SQL, ETL stored procedure, Shell Script, Crystal Reports, Datastage
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for quick product development. Schematic capture, PCB layout, and Gerber generation using Altium Designer of custom boards for both high and low speeds applications. Develop testing and troubleshooting procedures for new products. Test products before being shipped out. Use a combination of C/C++, MatLab, Tcl/Tk, I2C to develop firmware for microprocessors. Responsible for the product's complete life-cycle from statements of work to product delivery. Use C/C++ within the Qt environment to develop software for graphical or terminal end-user interaction. Create
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Print

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

Resume
Profile

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