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軟體工程師
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Software Engineer @Zenport Inc.
2023 ~ Presente
軟體工程師
En un mes
Node.js
JavaScript
DevOps / CI / CD
Empleado
Listo para la entrevista
A tiempo completo / Sólo a distancia
De 4 a 6 años
University of Essex
Computer Science
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軟體工程師 @昕力資訊股份有限公司
2022 ~ Presente
軟體工程師
En un mes
.NET Framework
.NET MVC
WEB API
Empleado
No está abierto a oportunidades
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
龍華科技大學
電子
Avatar of 張瑞程.
Avatar of 張瑞程.
軟體工程師 @Gamma Ray 軟體工作室
2020 ~ Presente
軟體工程師
En un mes
融、醫療、物聯網、系統整合與遊戲平台等相關領域的工程師職務。知曉 DevOps 三步工作法,理解敏捷開發的核心精神,能獨立部署 CI/CD 完整流程,AWS 雲服務日常也普遍應用。 目前正在尋找全遠端全職的 Java 後端工程師的職位,期望主要以 SpringBoot / SpringCloud (微服務
Java
Android
Python
Empleado
Listo para la entrevista
A tiempo completo / Sólo a distancia
6-10 años
國立聯合大學
資訊工程學系
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Engineer @鴻霖
2022 ~ Presente
軟體工程師
En un mes
追蹤的應用 - 音樂節拍地圖產生 Skills Programming Java HTML/CSS/JavaScript SQL Shell Script Groovy Python Ruby Framework/Library Spring Framework Hibernate Thymeleaf Bootstrap JQuery ReactJS Pandas CI/CD Jenkins GIT Docker Vagrant Ansible Maven Gradle Terraform Azure DevOps OS MAC OS Windows Linux AIX ESXI TIBCO TIBCO EMS TIBCO BusinessWorks 5 TIBCO BusinessWorks 6 TIBCO BusinessWorks CE Cloud AWS Azure Others Elasticsearch Geode Tomcat Nginx Ian Huang Software Engineer [email protected] https://github.com/lfAutobiography I am Ian, who enjoys
HTML5
Ruby
CSS3
Empleado
Listo para la entrevista
A tiempo completo / Interesado en trabajar a distancia
6-10 años
國立中正大學
資訊工程
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Java軟體工程師 @昕傳科技股份有限公司
2019 ~ 2021
軟體工程師
En seis meses
Java
C#
MVC
Empleado
A tiempo completo / No está interesado en trabajar a distancia
De 4 a 6 años
國立臺中科技大學
資訊工程

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Technical Skills
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Problem-Solving
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Más de un año
Backend & DevOps engineer @ 創順科技
創順科技
2017 ~ Presente
Taipei, 台灣
Professional Background
Situación actual
Empleado
Progreso en la búsqueda de empleo
No está abierto a oportunidades
Professions
Other
Fields of Employment
Software
Experiencia laboral
2-4 años
Management
Habilidades
Python
Docker
python django
Kubernetes
Idiomas
English
Intermedio
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Posición
軟體工程師
Tipo de trabajo
A tiempo completo
Ubicación
日本東京都, 台灣台北市
A distancia
Interesado en trabajar a distancia
Freelance
Sí, soy un autónomo amateur.
Educación
Escuela
台科大
Mayor
電子工程係(計算機組)
Imprimir
9926214.jpg

Cheng-Ming, Kuo  郭政旻

I love coding because it simplifies many things in life. During my spare time, I always work to improve my coding abilities and hope to contribute to open-source projects.

[email protected]
0953-866-708
Expecting work region: Taipei

Education

Nation Taiwan University of Science and Technology (NTUST),  2014 - 2016

  • M.S. Department of Electronic and Computer Engineering
  • Chung Yuan Christian University (CYCU), 2010 - 2014

  • B.S. Department of Electronic Engineering
  • Skills


    Python

  • Implement algorithm
  • Develop restful APIs
  • Automated script test performance 
  • Web scraping

  • Web

  • Frontend: HTML, CSS, Vue JS
  • Backend: Python Django, Golang Buffalo
  • DB: Django ORM (PostgreSQL), QuestDB

  • DevOps

  • Docker
  • GCP K8S:  Deploy production
  • Drone: CI CD tool
  • Work Experience

    Unnotech (創順科技),  2017.10 - now

    DevOps Engineer, 2018-6 - present

    As a DevOps Engineer, my responsibilities include:
    • Migrating production services from Docker Swarm to GCP Kubernetes.
    • Using Helm to manage our Kubernetes applications.
    • Implementing a Helm template for pgbouncer (a connection pool package) to use with our cloudSQL.
    • Using cloudSQL replica to implement database Read/Write splitting.
    • Monitoring the services with Prometheus, Grafana, and Sentry.
    • Implementing CI/CD with Drone (previously used Jenkins).
    • Developing a geoip plugin for caddy2.
    • Ensuring high availability and auto-recovery when encountering problems.
    Tech stack: GCP, Kubernetes, Docker, Helm, Drone, Nginx

    Backend Engineer, 2017-10 - present

    As a Backend Engineer, my responsibilities include:
    • Planning and implementing the functional architecture of the company's main product.
    • Optimizing ORM SQL and using appropriate caching techniques to mitigate database load and reduce response time.
    • Managing and preventing high-concurrency web robot attacks.
    • Planning and implementing a project to crawl crypto exchange information.
    • Constructing and maintaining RESTful APIs.
    • Communicating with frontend teams through APIs and providing them with necessary support.
    • Developing microservices and communicating with our services.
    • Developing an asynchronous script to test server stability.
    • Using Swagger to create API documentation.

    Tech stack: Python Django, Postgres, Celery, Redis, Asyncio, RabbitMQ

    Personal works,  2017.3 - 2017.7

    Web application produced by Python Django framework.
    • This application is similar to Twitter, allowing users to register, post articles, and engage with content through commenting and liking.
    • This project involves web scraping the YouTube website.
    Deployed in Heroku. (Test account : test, password : test1234)

      https://nickwebapplication.herokuapp.com  

    WAP interview Interm,  2017.5

    I had the opportunity to interview for an internship with Works Application, a company based in Japan. 
    The project topic was to design an ERP system for a large chain bookstore. I implemented the system using Java and presented a demo to their engineering team.



    Master's Dissertation 


        High energy consumption of data centers is an important issue which is widely discussed. Dynamic consolidation of Virtual Machine (VM) can reduce energy consumption by concentrating the workload of active hosts. However, VM migrations would cause some cost and consolidation might bring more resource demands and lead to violate service level agreements (SLA) between cloud computing providers and users.

        We proposed a VM allocation mechanism by using the requirement history of VMs to calculate standard deviations (STD), the mechanism can predict future resource requirements of each VM and reallocate VMs into the server under the QoS requirements. When some servers overload in a datacenter, suitable VMs are selected from these servers and migrated to appropriate servers to meet the requirement of SLA. On the other hand, when some servers underload, all VMs are migrated out from underload server, switched to sleep mode. Compared to the heuristics proposed in previous studies, the proposed method could greatly decrease number of migrations、SLA violations and execution time.

    Resume
    Perfil
    9926214.jpg

    Cheng-Ming, Kuo  郭政旻

    I love coding because it simplifies many things in life. During my spare time, I always work to improve my coding abilities and hope to contribute to open-source projects.

    [email protected]
    0953-866-708
    Expecting work region: Taipei

    Education

    Nation Taiwan University of Science and Technology (NTUST),  2014 - 2016

  • M.S. Department of Electronic and Computer Engineering
  • Chung Yuan Christian University (CYCU), 2010 - 2014

  • B.S. Department of Electronic Engineering
  • Skills


    Python

  • Implement algorithm
  • Develop restful APIs
  • Automated script test performance 
  • Web scraping

  • Web

  • Frontend: HTML, CSS, Vue JS
  • Backend: Python Django, Golang Buffalo
  • DB: Django ORM (PostgreSQL), QuestDB

  • DevOps

  • Docker
  • GCP K8S:  Deploy production
  • Drone: CI CD tool
  • Work Experience

    Unnotech (創順科技),  2017.10 - now

    DevOps Engineer, 2018-6 - present

    As a DevOps Engineer, my responsibilities include:
    • Migrating production services from Docker Swarm to GCP Kubernetes.
    • Using Helm to manage our Kubernetes applications.
    • Implementing a Helm template for pgbouncer (a connection pool package) to use with our cloudSQL.
    • Using cloudSQL replica to implement database Read/Write splitting.
    • Monitoring the services with Prometheus, Grafana, and Sentry.
    • Implementing CI/CD with Drone (previously used Jenkins).
    • Developing a geoip plugin for caddy2.
    • Ensuring high availability and auto-recovery when encountering problems.
    Tech stack: GCP, Kubernetes, Docker, Helm, Drone, Nginx

    Backend Engineer, 2017-10 - present

    As a Backend Engineer, my responsibilities include:
    • Planning and implementing the functional architecture of the company's main product.
    • Optimizing ORM SQL and using appropriate caching techniques to mitigate database load and reduce response time.
    • Managing and preventing high-concurrency web robot attacks.
    • Planning and implementing a project to crawl crypto exchange information.
    • Constructing and maintaining RESTful APIs.
    • Communicating with frontend teams through APIs and providing them with necessary support.
    • Developing microservices and communicating with our services.
    • Developing an asynchronous script to test server stability.
    • Using Swagger to create API documentation.

    Tech stack: Python Django, Postgres, Celery, Redis, Asyncio, RabbitMQ

    Personal works,  2017.3 - 2017.7

    Web application produced by Python Django framework.
    • This application is similar to Twitter, allowing users to register, post articles, and engage with content through commenting and liking.
    • This project involves web scraping the YouTube website.
    Deployed in Heroku. (Test account : test, password : test1234)

      https://nickwebapplication.herokuapp.com  

    WAP interview Interm,  2017.5

    I had the opportunity to interview for an internship with Works Application, a company based in Japan. 
    The project topic was to design an ERP system for a large chain bookstore. I implemented the system using Java and presented a demo to their engineering team.



    Master's Dissertation 


        High energy consumption of data centers is an important issue which is widely discussed. Dynamic consolidation of Virtual Machine (VM) can reduce energy consumption by concentrating the workload of active hosts. However, VM migrations would cause some cost and consolidation might bring more resource demands and lead to violate service level agreements (SLA) between cloud computing providers and users.

        We proposed a VM allocation mechanism by using the requirement history of VMs to calculate standard deviations (STD), the mechanism can predict future resource requirements of each VM and reallocate VMs into the server under the QoS requirements. When some servers overload in a datacenter, suitable VMs are selected from these servers and migrated to appropriate servers to meet the requirement of SLA. On the other hand, when some servers underload, all VMs are migrated out from underload server, switched to sleep mode. Compared to the heuristics proposed in previous studies, the proposed method could greatly decrease number of migrations、SLA violations and execution time.