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輔仁大學
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後端工程師 @Beyond Cars
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MongoDB
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輔仁大學
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Director @朕來雲端工作室
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Redmine 5.Obsidian Devops 1.Git 2.Jenkins 3.Docker 4.Kubernetes 測試工具 1.POSTMAN 2.cucumber 3.Mocha 4. SonarQube 5.OWASP ZAP SQL & NoSQL 1. MySQL 2. PostgreSQL 3. Sqlite 4. MongoDB 5. Redis 雲端服務 1.AWS 2.Azure 3.GCP 4.Alexa 5.FireBase 系統 1. Arch Linux 2. Ubuntu Linux 3. Redhat Linux 4. Windows Server 工作經歷 朕來雲端工
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數學系純數組
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Staff Cloud Architect Enginner @域動行銷股份有限公司
2023 ~ Present
雲端工程師,雲端架構師,數據架構師
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勵學習及進步的團隊。 [email protected], Taiwan Education 輔仁大學圖書資訊學系,Skills Python 程式寫作、實作爬蟲及資料清理作業。 Database SQL : PostgreSQL, MySQL, MSSQL NoSQL: MongoDB, Redis, DynamoDB, Hadoop Docker 容器化技術 Data Lakehouse Databricks Azure 持有Microsoft Certified: Azure Solutions Architect Expert 及 Data enginner 證照 AWS 持有 AWS Certified Solutions Architect – Professional 證照 工作經歷 Staff Cloud Architect Enginner , 域動行銷股
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Sr. Backend Engineer @PayPay Corporation
2023 ~ Present
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python
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AI軟體工程師 @GIS業成
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二月至今 ■主要工作 事項 檢測面板瑕疵,以及開發各式AI系統 ■技能Skill 1. Python 2. Pytorch 3. Opencv 4. pandas 5. Numpy 6. Halcon 7. MongoDB 8. MySQL 9. Yolo ■工作項目 。協疵檢測 檢測面板中的瑕疵。 。口罩偵測系統 負責抓取未戴口罩的人員。 軟體工程師 • 資策會 四
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Senior Engineer
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PayPay Corporation
2023 ~ Present
Taipei City, Taiwan
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Back-end Engineer
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輔仁大學
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Print

Chih Hsiang Hsu (許智翔)

Sr. Backend Engineer

  Taipei City, Taiwan

As a Backend Engineer with some DevOps and SRE knowledge.
Has Strong enthusiasm in programming and computer.
Fast learner and good at communicating with partner.
Desire to be a great System Architect. 

       

Programing


Intermediate: Python, Golang, Kotlin, Shell

Novice: C, R

Tool


  • Database: Dynamodb, MySQL, SQLServer, Postgresql, Mongodb, Redis, Cassandra, Elasticsearch
  • Cloud Platform: GCP, AWS, Azure
  • Container: Docker, Kubernetes
  • Others: Terraform, Ansible, Puppet, Prometheus, Helm, Jenkins

Work Experiences

Sr. Backend Engineer

PayPay •  Location Japan Tokyo  Feb, 2023 - Now

Tools: Kotlin, Java, Kubernetes, ArgoCD, AWS, MySQL, Spring Boot, Kustomize
Achievements:

  • As a tech leader in the team, I lead five members and mentor them.
  • Help to clarify the requirements and let the team work more efficiently.
  • Help to make our team more self-managed.
  • Implement the document well culture in the team and help the newcomer understand our team easily.

Sr. Backend Engineer

17Live •  Aug, 2021 - Feb 2023

Tools: Golang, Kubernetes, Helm, GCP, ArgoCD, Mongodb, Redis, Elasticsearch
Achievements:

  • Design keyword auto-suggestion system using Elasticsearch.
  • Participate in the event sourcing project and provide backup solution.
  • Enhance CI/CD flow to make it earlier and more fluent, and reduce about 80% of deployment scripts with helmfile and ArgoCD.
  • Find out the bottleneck and speed up about 3 times using concurrent.
  • Reduce about 20% of errors in service and make it more durable.

Sr. Engineer (Infra R&D)

TrendMicro •  Jan, 2021 - Aug, 2021

Tools : python, Golang, Kubernetes, Helm, Terraform, Azure, AWS, Prometheus, Spark
Achievements :

  • Maintain Kubernetes on Azure and AWS and CI/CD flow on AWS CodeBuild 
  • Develop tools for internal users and operations to reduce toil.
  • Set up metrics and logging system
  • Develop spark ETL.

Sr. Backend Engineer (SaaS R&D)

TrendMicro •  Sep, 2019 - Jan, 2021

Tools : Python, Golang, Shell, VueJS, Docker, MySQL, AWS, Linux, Kuburnetes, Ansible, Puppet
Achievements :

  • Make MySQL schema change and data migration without down time.
  • Maintain production, development environment and CI/CD workflow using Jenkins, Puppet and Ansible.
  • Migrate premise service to cloud (AWS).
  • Implement Terraform to deploy fast and automatically.
  • Participate in python upgrade project and we have improved efficiency twice and reduced cost 30%.
  • Plan to change Monolithic to microservice.
  • Use python gevent and coroutine to reduce machines from 7 to 2 for 1000 qps. 

Full Stack Engineer and Research Assistant

DALab Solutions X Associates Co. Ltd (Artificial Intelligence for Intelligent Manufacturing Systems Research Center; AIMS)   •  Oct, 2018 - Sep, 2019

Tools : Python, Django, JavaScript, VueJS, Docker, MySQL, Postgresql, Linux, Statistic
Achievements :

  • Meet customers, design a system that meets the user story of customers and build it. (Both back-end and front-end)
  • Create APIs that integrate with machine learning or deep learning models.
  • Import CI/CD system. Make deployment and testing more efficient than before, reducing about 40% work time.
  • Maintain system, CI/CD progress and deploy to client side.

DevOps Engineer

Green Spotlight Digital  •  Nov, 2017 - Sep, 2018

Tools : Python, Django, MySQL, Mongodb, Tibero, Oracle, MS SQL, Linux, Docker, Ansible
Achievements :

  • Manage databases and operation systems.
  • Maintain and design hardware and database log analysis systems.
  • Import Git into companies to manage source code.
  • Use Ansible and VMWare to make test and deploy more efficient.

Project

FastAPI

https://github.com/tiangolo/fastapi

FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.

Fluent-plugin-azureeventhubs-batched

https://github.com/ChihSeanHsu/fluent-plugin-azureeventhubs-batched
Azure Event Hubs buffered output plugin for Fluentd. This fork repository is for batch functions.

Django

https://github.com/django/django

Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design. Thanks for checking it out.

Certificate

Education

2012 - 2016

Fu Jen Catholic University

Bachelor of Statistics and Information Science

Coursework includes: programming, Data Driven Decision-Making

Resume
Profile

Chih Hsiang Hsu (許智翔)

Sr. Backend Engineer

  Taipei City, Taiwan

As a Backend Engineer with some DevOps and SRE knowledge.
Has Strong enthusiasm in programming and computer.
Fast learner and good at communicating with partner.
Desire to be a great System Architect. 

       

Programing


Intermediate: Python, Golang, Kotlin, Shell

Novice: C, R

Tool


  • Database: Dynamodb, MySQL, SQLServer, Postgresql, Mongodb, Redis, Cassandra, Elasticsearch
  • Cloud Platform: GCP, AWS, Azure
  • Container: Docker, Kubernetes
  • Others: Terraform, Ansible, Puppet, Prometheus, Helm, Jenkins

Work Experiences

Sr. Backend Engineer

PayPay •  Location Japan Tokyo  Feb, 2023 - Now

Tools: Kotlin, Java, Kubernetes, ArgoCD, AWS, MySQL, Spring Boot, Kustomize
Achievements:

  • As a tech leader in the team, I lead five members and mentor them.
  • Help to clarify the requirements and let the team work more efficiently.
  • Help to make our team more self-managed.
  • Implement the document well culture in the team and help the newcomer understand our team easily.

Sr. Backend Engineer

17Live •  Aug, 2021 - Feb 2023

Tools: Golang, Kubernetes, Helm, GCP, ArgoCD, Mongodb, Redis, Elasticsearch
Achievements:

  • Design keyword auto-suggestion system using Elasticsearch.
  • Participate in the event sourcing project and provide backup solution.
  • Enhance CI/CD flow to make it earlier and more fluent, and reduce about 80% of deployment scripts with helmfile and ArgoCD.
  • Find out the bottleneck and speed up about 3 times using concurrent.
  • Reduce about 20% of errors in service and make it more durable.

Sr. Engineer (Infra R&D)

TrendMicro •  Jan, 2021 - Aug, 2021

Tools : python, Golang, Kubernetes, Helm, Terraform, Azure, AWS, Prometheus, Spark
Achievements :

  • Maintain Kubernetes on Azure and AWS and CI/CD flow on AWS CodeBuild 
  • Develop tools for internal users and operations to reduce toil.
  • Set up metrics and logging system
  • Develop spark ETL.

Sr. Backend Engineer (SaaS R&D)

TrendMicro •  Sep, 2019 - Jan, 2021

Tools : Python, Golang, Shell, VueJS, Docker, MySQL, AWS, Linux, Kuburnetes, Ansible, Puppet
Achievements :

  • Make MySQL schema change and data migration without down time.
  • Maintain production, development environment and CI/CD workflow using Jenkins, Puppet and Ansible.
  • Migrate premise service to cloud (AWS).
  • Implement Terraform to deploy fast and automatically.
  • Participate in python upgrade project and we have improved efficiency twice and reduced cost 30%.
  • Plan to change Monolithic to microservice.
  • Use python gevent and coroutine to reduce machines from 7 to 2 for 1000 qps. 

Full Stack Engineer and Research Assistant

DALab Solutions X Associates Co. Ltd (Artificial Intelligence for Intelligent Manufacturing Systems Research Center; AIMS)   •  Oct, 2018 - Sep, 2019

Tools : Python, Django, JavaScript, VueJS, Docker, MySQL, Postgresql, Linux, Statistic
Achievements :

  • Meet customers, design a system that meets the user story of customers and build it. (Both back-end and front-end)
  • Create APIs that integrate with machine learning or deep learning models.
  • Import CI/CD system. Make deployment and testing more efficient than before, reducing about 40% work time.
  • Maintain system, CI/CD progress and deploy to client side.

DevOps Engineer

Green Spotlight Digital  •  Nov, 2017 - Sep, 2018

Tools : Python, Django, MySQL, Mongodb, Tibero, Oracle, MS SQL, Linux, Docker, Ansible
Achievements :

  • Manage databases and operation systems.
  • Maintain and design hardware and database log analysis systems.
  • Import Git into companies to manage source code.
  • Use Ansible and VMWare to make test and deploy more efficient.

Project

FastAPI

https://github.com/tiangolo/fastapi

FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.

Fluent-plugin-azureeventhubs-batched

https://github.com/ChihSeanHsu/fluent-plugin-azureeventhubs-batched
Azure Event Hubs buffered output plugin for Fluentd. This fork repository is for batch functions.

Django

https://github.com/django/django

Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design. Thanks for checking it out.

Certificate

Education

2012 - 2016

Fu Jen Catholic University

Bachelor of Statistics and Information Science

Coursework includes: programming, Data Driven Decision-Making