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4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Kaohsiung City, Taiwan
Avatar of Ruy.
Avatar of Ruy.
3D建模師 @映夢文化、和仲科技、夢想國、頑石創意、魔法師遊戲、FunnyLab、JAC Studio、Bloxmith 等等
1998 ~ 现在
3D 角色建模,硬表面、專案製作流程控管相關
一個月內
陳其宏 3D建模師 Kaohsiung City, Taiwan [email protected] https://jacruy.wixsite.com/jacruy 專職工作 • 3D建模 − 主要以角色、生物、機械、場景物件類, PBR規格 為主。 • UV、貼圖 − 寫實及風格化的現、次世代PBR 規格貼圖繪製 輔助工作 • 模型骨架、蒙皮權重設定、動畫調整、 • 團隊支援需求、教育溝通
3DMAX
MAYA
Blender3D
就职中
目前会考虑了解新的机会
全职 / 我只想远端工作
15 年以上
南台科技大學
應用電子工程

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职场能力评价定义

专业技能
该领域中具备哪些专业能力(例如熟悉 SEO 操作,且会使用相关工具)。
问题解决能力
能洞察、分析问题,并拟定方案有效解决问题。
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超過一年
Freelance Writer on Medium
Academia Sinica
2020 ~ 现在
Taipei, 台灣
专业背景
目前状态
求职阶段
专业
数据工程师
产业
软件
工作年资
1 到 2 年工作经验(小於 1 年相关工作经验)
管理经历
技能
Classification
implementation
Evaluation
Networking
Research
Basic Troubleshooting
Research project
Image Processing
Neural Network
Word
Effectiveness
Improvement
C++
C
Python
Machine Learning
Convolutional Neural Networks
Deep Learning
Linux Operating System Configuration
JAVA
Julia Language
MATLAB
R language
Ruby
Ruby on Rails
Parallel Computing
语言能力
Chinese
母语或双语
English
专业
求职偏好
希望获得的职位
Image processing, machine learning, parallel computing, software engineer
预期工作模式
全职
期望的工作地点
Taipei, 台灣, Japan, United States, Canada, Australia, Taiwan, China, Singapore, Hong Kong, Taichung, 台灣, Tainan City, 台灣, Kaohsiung City, 台灣, Hsinchu City, 台灣, Hsinchu County, 台灣
远端工作意愿
对远端工作有兴趣
接案服务
学历
学校
National Central University
主修科系
Master of Science Computer Science and Information Engineering
列印
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.

简历
个人档案
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.