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Taichung City, Taiwan
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韌體工程師 @銓鼎科技
2017 ~ 2018
全端工程師 補習班講師
Dans 1 mois
老師在程式、機構、3D繪圖、電路都要有一定涉獵。因此在這之間我除了複習以前學的solidworks、onShape等3D繪圖軟體、還要能寫Labview、JAVA、C++、python以及使用PCB Layout 軟體像是OrAcd跟EasyEDA。除了硬軟體外,還必須教學像是無人車追跡演算法、測程法、PID自動控制等將理論演算
React.js
Vue.js
JavaScript
Sans Emploi
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4 à 6 ans
國立交通大學
顯示工程研究所
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後端網站工程師 @Lctech_雷麒科技有限公司
2023 ~ Présent
Back-End, DevOps engineer, SRE
Dans 1 mois
Word
PowerPoint
Excel
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Ne recherche pas de nouvelles opportunités
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4 à 6 ans
Tunghai University
Master of Computer Science
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SRE @書亞集成股份有限公司
2019 ~ Présent
後端工程師 / 主管
Plus d'1 an
精進其他領域的能力。 信箱:[email protected] Blog: http://sjkou.net GitHub: https://github.com/khjay GitLab: https://gitlab.com/khjay Skills Backend Languages: C/C++、Python、PHP、Golang Framework: Laravel、Codeigniter、Django RDBMS: MySQL、MariaDB、Percona NoSQL: MongoDB、Redis DevOps Version Control: Github、Gitlab Configuration Management: Ansible Monitor: Prometheus、Grafana Log Collector: Elasticsearch、Kibana、Fluentd Orchestration: Docker、Docker Compose、Docker Swarm Test Unit Test End to End Test: Selenium、Cucumber Cloud Native Infra.
PHP
MySQL database design
CodeIgniter
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6 à 10 ans
銘傳大學
資訊工程學系

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Freelance Writer on Medium
Academia Sinica
2020 ~ Présent
Taipei, 台灣
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Master of Science Computer Science and Information Engineering
Imprimer
E68rgll9rhdiy7unwrog

Lu-Hsuan Chen

Taoyuan, TW 32001

 [email protected] 

 0910194893

 https://cuda-chen.github.io/

 https://medium.com/@clh0524

Overview


  • 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.

Skills


  • 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.

Projects


SLIC.jl

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

vface-server-cpp

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

Education

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 

Award

Outstanding Graduate Teaching Award

  • 3rd place of excellent achievement in teaching assistance

Certificate

Fundamentals of Accelerated Computing with CUDA C/C++

Academic

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.

Resume
Profile
E68rgll9rhdiy7unwrog

Lu-Hsuan Chen

Taoyuan, TW 32001

 [email protected] 

 0910194893

 https://cuda-chen.github.io/

 https://medium.com/@clh0524

Overview


  • 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.

Skills


  • 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.

Projects


SLIC.jl

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

vface-server-cpp

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

Education

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 

Award

Outstanding Graduate Teaching Award

  • 3rd place of excellent achievement in teaching assistance

Certificate

Fundamentals of Accelerated Computing with CUDA C/C++

Academic

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.