Lu-Hsuan Chen

Taoyuan, TW 32001

 [email protected] 





  • Full of enthusiasm and solid experience in image processing and machine learning over 3 years, parallel computing over 1 year.
  • C/C++ over 5 years.
  • Python over 4 years.


  • Proficient programming language: C, C++, Python, Julia, SQL
  • Machine learning framework: Keras
  • Image processing library: OpenCV, scikit-image
  • Web backend framework: Django
  • Web frontend framework: Vue
  • CI/CD: GitHub Actions
  • Monitoring: Prometheus, Grafana
  • DevOps: Docker

Work Experience

Cloud Engineer in Test, Sep 2020 ~ Present
Trend Micro Inc.

Research Assistance, Feb 2020 ~ Aug 2021
Academica Sinica
  • QSIS-Data-Acquisition-System
    socket.io, Obspy, RasberryPI, qemu-user-static
    ◼ Create low-cost seismometer only costs 5,000 NTD.
    ◼ Reduce firmware update time from ten to three minutes. 
  • Seismic-wave analysis program (min-max, FFT, gap, overlap) 
◼ Self-created tool for seismic data quality control.
◼ Use libmseed to manipulate miniSEED 3.x format data.
◼ Outperform SAC when encountering data with gaps.
◼ Django, GraphQL, Vue, MySQL, Dramatiq, RabbitMQ, GitHub Action, Prometheus, Grafana
◼ Reduce data query time by 75%.
◼ Solve zombie process problem when running C shell in Docker.



  • Implement SLIC algorithm (with enforcing connectivity) in Julia.


  • Low cost VTuber-project.
  • Detect face key points using C++, OpenCV, and Dlib in 10 ms.
  • Send information to web client via Websocket.


National Central University, Sep 2017 ~ Jun 2019

  • Master of Computer Science and Information Engineering
  • Overall GPA: 3.34/4.0
  • Diploma thesis: Fish Image Segmentation and Classification System Design Based on Deep Learning 
    • Create a segmentation and classification system with Mask R-CNN and ResNet-50 classifier for recognizing 41 kinds of fish with 85% of Top-1 classification accuracy of species recognition.
    • Create a fish image dataset containing at least 800 images with labeling

National Central University, Sep 2013 ~ Jun 2017

  • Bachelor of Computer Science and Information Engineering
  • Overall GPA: 3.35/4.0 


Outstanding Graduate Teaching Award

  • 3rd place of excellent achievement in teaching assistance


Fundamentals of Accelerated Computing with CUDA C/C++


Course TA

  • Robot Design
  • Embedded System Design
  • Experiment of Digital Design

Extracurricular Activities

Member, Sep 2014  ~ Jul 2016

Networking and Open Source Community Club

  • Full attendance for every event and always try my best to learn some new technique such as Git, Linux, Python, Ruby, etc.

Freelance Writer, Dec 2019  ~ Present

Analytics Vidhya, Medium

  • Featured writer about Machine Learning and Image Processing.

Powered By CakeResume