CakeResume 找人才

进阶搜寻
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Taichung City, Taiwan
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曾任
Career transition @Career Break
2024 ~ 2024
NLP Engineer / Data Scientist / Machine Learning Engineer
一個月內
Python
SQL
NLP
待业中
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
National Chengchi University
資訊科學系
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系統分析師 @全球華人股份有限公司/1111人力銀行
2023 ~ 现在
SA,PM,數據分析師
一個月內
Oracle
JavaScript
PHP
就职中
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
靜宜大學
財務與計算數學系
Avatar of 邱文凱.
Avatar of 邱文凱.
系統開發經理 @優利士實業
2013 ~ 现在
前端工程師、後端工程師、全端工程師
一個月內
應用: mysql、 DynamoDB 、 ElastiCache 、RDS、 Redis、elasticsearch 金流串接:直串銀行、綠界、藍新、悠遊卡、悠遊付、tappay、街口支付、全支付 電子發票:關貿、綠界、鯨耀 簡訊API:三竹、sms 自動傳真介接:中華電信 canbus資料讀取、應用 IOT板子應用:Arduino、esp32 常用語言:jvascript、php、dart、python、C++、shell 語言 中文 - 精通 台語 -精通 英文 - 普通
JavaScript
node
Python
就职中
正在积极求职中
兼职 / 对远端工作有兴趣
10 到 15 年
私立僑泰高級中學
微電修護科
Avatar of 賴泳瑄.
Avatar of 賴泳瑄.
老闆 @歐趴飲料店
2012 ~ 2018
AIOT開發工程師
一個月內
Android / IOS 專案框架及工程師疑難排解 APP WEB UX 規劃 第三方元件整合 Google Play / Apple Store 上架 兼任講師 • 東海大學 一月Present 主要教學C、C++、JAVA、PYTHON、物聯網、資料科學、機器學習、深度學習等等。 科技部計畫研究助理 • 東海大學 一月十二月 2019 協助撰寫科技部計畫
機器學習、大數據分析、邊緣運算、資料探勘
Application Development
Data Science
就职中
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
Tunghai University
資訊
Avatar of Gordon Shih.
Avatar of Gordon Shih.
曾任
經理 @芫鉅科技
2022 ~ 2023
專案開發主管
三個月內
統上。除此之外,亦負責開發網路閘道器(Router)自動化驗證軟體系統,以及WiFi RF性能估測軟體系統,此系統除台灣分公司使用之外,亦使用於以色列分公司。 學歷 逢甲大學 Feng Chia University 自動控制,程式設計技能 Communication C C++ C# CSS JavaScript HTML/CSS 語言 Chinese — 進階 English — 中階
Communication
C
C++
待业中
正在积极求职中
全职 / 对远端工作有兴趣
15 年以上
逢甲大學 Feng Chia University
自動控制, 程式設計
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全端工程師 @帝商科技股份有限公司
2020 ~ 现在
Software Engineer
一個月內
PHP
Laravel
Scrum
就职中
目前会考虑了解新的机会
全职 / 暂不考虑远端工作
4 到 6 年
朝陽科技大學
資訊工程系
Avatar of 張暐翔.
Avatar of 張暐翔.
軟體工程師 @Wistron NeWeb Corporation 啟碁科技股份有限公司
2023 ~ 2023
軟體工程師
兩個月內
張暐翔 Taichung City, [email protected] As a dedicated Computer Science student with a specialization in Machine Learning and Network Security, my core competencies lie in the intricacies of operating systems, the nuances of cybersecurity, advanced program design, and the application of machine learning algorithms. Fueled by an insatiable drive for innovation and an unwavering commitment to excellence, I seek to engage with a technologically advanced environment that not only challenges my capabilities but also offers opportunities for growth and contribution at the forefront of the technology sector. 工作經歷 Master's
Word
PowerPoint
Excel
就学中
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
國立中正大學(National Chung Cheng University)
Computer Science and Information Engineering
Avatar of 施冠宇.
Avatar of 施冠宇.
Data engineer @H2 Inc.
2021 ~ 现在
AI engineer, ML engineer, data scientist
三個月內
on validation dataset. Accuracy 達到 93%, 已與醫師合作發表醫學 paper 3. Pathology案件 -建立 two stage segmentation model, stage one segmentation model 達到86% IOU, stage two segmentation model 達到 94% custom dice coefficient 學歷 清華大學 動力機械工程學系技能 Software AWS Airflow Dagster Docker Git Flask Pytorch Tensorflow DVC Languages Python SQL Bash-Shell script C/C++ Javascript Technical Skill Data Modeling Custom ETL Development Data Analysis System Resource Analysis AWS IaaS
Airflow
Docker
AWS
就职中
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
清華大學
動力機械工程學系
Avatar of Hsiang-Hua Liu.
Avatar of Hsiang-Hua Liu.
馬達設計工程師 @鑫元鴻實業股份有限公司
2022 ~ 现在
工程師
一個月內
學 楠梓校區) 電訊工程系 •經歷: 系學會成員 魔幻藝術社社員 學習歷程: RF基礎知識學習 天線設計課程(實作) 基礎語言課程(C、C++、組合語言等) 藍芽模組應用 技能 軟體應用 Ansys Maxwell Ansys Rmxpert MotorCad AutoCAD 2D Matlab 基本文書軟體 技能經歷 IE3&IE4 馬達磁路設計 直流無刷
ANSYS MAXWELL
AutoCad 2D
word
就职中
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
逢甲大學(Feng Chia University)
資訊電機工程碩士學位學程
Avatar of Kevin Fan.
Avatar of Kevin Fan.
Backend Engineer @群馥科技股份有限公司(Fortuna Intelligence Company,LTD)
2023 ~ 现在
前端工程師、後端工程師、全端工程師
一個月內
問題並具有良好的團隊合作能力。 SKILL SET Backend frameworks: Spring Boot(Java) and Nest.js(Node.js) Frontend Frameworks: React, Vue Containerization and deployment: Docker, Kubernetes Automation: GitLab CI/CD, Shell script Programing languages: JavaScript, Java, Python, Go, C++ Databases: Mongo, Postgres, Redis Message Brokers: Kafka, NATS, RabbitMQ, MQTT Others: Nginx, RESTful, Graphql, Git SUMMARY 具備豐富的全端開發經驗,擅長於從零到一的專案規劃與開發,善於優化系
JavaScript
Java
Python
就职中
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
國立聯合大學 National United University
資訊工程

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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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遇到突发事件能冷静应对,并随时调整专案、客户、技术的相对优先序。
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有效传达个人想法,且愿意倾听他人意见并给予反馈。
时间管理能力
了解工作项目的优先顺序,有效运用时间,准时完成工作内容。
团队合作能力
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专注于团队发展,有效引领团队采取行动,达成共同目标。
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.