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Definition of Reputation Credits
MIN CHUN, KUO
SRE and DevOps Engineer
Experiences
SRE and Cloud Engineer - at 17Live, September 2021 - Present
1. Use GCP Cloud Function to automatically detect the new GKE Stable Release Note every day and send the message to slack channel.
2. Cooperate with Data Team, build a Datadog SLO metrics monitor
3. Use Kubernetes to handle more than ten GKE cluster and write Kubernetes yaml file
4. Use GCP IAM to manage hundreds of account permissions (including company members and service accounts) with Terraform.
5. Use CircleCI to ensure every commits are safe, use Jenkins to manage the pipeline, and use spinnaker to continuously deploy applications to Kubernetes Engine.
6. Use OKTA SSO to manage user logins for multiple websites and platforms.
7. Write RCA, when a P0 level alert occurs, the purpose is to record the current situation, how to deal with it, how to postmortem, and action items.
Algorithm and DevOps Engineer - at 創意引晴 (Viscovery), Feb 2019 - August 2021
1. Use python FastAPI architecture to set up CMS system and provide API for client to connect.
2. Set up an automatic alert system with Fluent to monitor log anomalies and send the message to the RocketChat alert_firefighter channel within the company.
3. When the customer reports the problem, cooperate with PM, try to troubleshoot and solve the problem, and finally make a record report.
4. Set up Gitlab CI. Whenever someone push commits, Gitlab CI will automatically run some tests(including coding style and unit test) to confirm the commits are safe to merge.
5. Use Docker to set up and manage the environment to confirm the consistency of the production environment.
6. In terms of automated deployment, use Jenkins to manage pipelines and use Ansible to manage various tasks. In addition, use Terraform to automatically turn on the required machine resources to achieve the purpose of "infra as code".
7. Develop advanced deep learning algorithms to solve visual checkout problems.
(EX: Bakery - 一之軒, Cafeteria/Food Court - 丸龜製麵, Micro Market - 全家超商 ...etc)
Backend Engineer Intern - at 華碩健康 (Asus Life), Jan 2018 - Dec 2018
1. Design and develop RESTful API with Python Django.
2. Design and develop web crawler data pipelines.
3. Industry-University cooperation project leader.
Honors & Awards
The Second Place of Service Outsourcing Innovatin and Entrepreneurship Competition for Chinese Students - at Wuxi city of China, 2019
The First Place of International ICT Innovative Services Awards(鈦坦Agile development team / Industry-University cooperation team / Information security team) - at InnoServe, 2018
The First Place of Health Insurance Administration Health Bank Hackathon - at Health Insurance Administration, 2017
Education
Tamkang University, Bachelor's degree, Department of Information Management
Skills
Python
FastAPI
Django
RestfulAPI
SQLAlchemy
DevOps
Terraform
Gitlab CI
Jenkins
Ansible
Docker
k8s
Auto-test
WinDriver with Appium
Selenium
Deep learning
Tensorflow
Pytorch
OpenCV
Pandas
Cloud
GCP(GCS, GKE, GCE, IAM ...)
AWS(EC2, R53 ...)
Other
Certifications
1. Neural Networks and Deep Learning - at Coursera
2. Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization - at Coursera
3. Structuring Machine Learning Projects - at Coursera
MIN CHUN, KUO
SRE and DevOps Engineer
Experiences
SRE and Cloud Engineer - at 17Live, September 2021 - Present
1. Use GCP Cloud Function to automatically detect the new GKE Stable Release Note every day and send the message to slack channel.
2. Cooperate with Data Team, build a Datadog SLO metrics monitor
3. Use Kubernetes to handle more than ten GKE cluster and write Kubernetes yaml file
4. Use GCP IAM to manage hundreds of account permissions (including company members and service accounts) with Terraform.
5. Use CircleCI to ensure every commits are safe, use Jenkins to manage the pipeline, and use spinnaker to continuously deploy applications to Kubernetes Engine.
6. Use OKTA SSO to manage user logins for multiple websites and platforms.
7. Write RCA, when a P0 level alert occurs, the purpose is to record the current situation, how to deal with it, how to postmortem, and action items.
Algorithm and DevOps Engineer - at 創意引晴 (Viscovery), Feb 2019 - August 2021
1. Use python FastAPI architecture to set up CMS system and provide API for client to connect.
2. Set up an automatic alert system with Fluent to monitor log anomalies and send the message to the RocketChat alert_firefighter channel within the company.
3. When the customer reports the problem, cooperate with PM, try to troubleshoot and solve the problem, and finally make a record report.
4. Set up Gitlab CI. Whenever someone push commits, Gitlab CI will automatically run some tests(including coding style and unit test) to confirm the commits are safe to merge.
5. Use Docker to set up and manage the environment to confirm the consistency of the production environment.
6. In terms of automated deployment, use Jenkins to manage pipelines and use Ansible to manage various tasks. In addition, use Terraform to automatically turn on the required machine resources to achieve the purpose of "infra as code".
7. Develop advanced deep learning algorithms to solve visual checkout problems.
(EX: Bakery - 一之軒, Cafeteria/Food Court - 丸龜製麵, Micro Market - 全家超商 ...etc)
Backend Engineer Intern - at 華碩健康 (Asus Life), Jan 2018 - Dec 2018
1. Design and develop RESTful API with Python Django.
2. Design and develop web crawler data pipelines.
3. Industry-University cooperation project leader.
Honors & Awards
The Second Place of Service Outsourcing Innovatin and Entrepreneurship Competition for Chinese Students - at Wuxi city of China, 2019
The First Place of International ICT Innovative Services Awards(鈦坦Agile development team / Industry-University cooperation team / Information security team) - at InnoServe, 2018
The First Place of Health Insurance Administration Health Bank Hackathon - at Health Insurance Administration, 2017
Education
Tamkang University, Bachelor's degree, Department of Information Management
Skills
Python
FastAPI
Django
RestfulAPI
SQLAlchemy
DevOps
Terraform
Gitlab CI
Jenkins
Ansible
Docker
k8s
Auto-test
WinDriver with Appium
Selenium
Deep learning
Tensorflow
Pytorch
OpenCV
Pandas
Cloud
GCP(GCS, GKE, GCE, IAM ...)
AWS(EC2, R53 ...)
Other
Certifications
1. Neural Networks and Deep Learning - at Coursera
2. Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization - at Coursera
3. Structuring Machine Learning Projects - at Coursera