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淡江大學
Avatar of Corey Lee.
Avatar of Corey Lee.
Past
Senior Frontend Developer @恒遠科技有限公司
2022 ~ 2024
senior frontend engineer or frontend lead
Dans 1 mois
台運營,自有產品有彩票及棋牌娛樂城 工作地點:台北市中山區 工作內容: H5遊戲客戶端開發暨維護 百家樂路圖功能開發 演算法撰寫 技術:Cocos Creator、Socket.IO 平台網站開發暨維護 聊天室功能擴充 技術:Vue+Vuex、SCSS(Flex)、Socket.IO Frontend Team Leader • 藝家科技股份有限公
Vue.js
Vuex
Knockout.js
Sans Emploi
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
Plus de 15 ans
淡江大學
資訊工程
Avatar of 許珉豪.
Avatar of 許珉豪.
資料科學家 @格萊鉑數位有限公司
2018 ~ Présent
資料分析師
Dans 1 mois
賠率,轉換成對於數據商真實機率的評估,甩開傳統計算返還率的方式,Power method更能反應在低勝率所呈現的真實賠率,透過此演算法算出的機率轉換成賠率提供給玩家。 Power Method演算法 Cohort analysis 帶來效益: 使用前後額外獲利 : 2% / 年 綜合開盤 透過統計分析
Python
Machine Learning
R
Employé
Ouvert à de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
6 à 10 ans
淡江大學
資訊管理
Avatar of the user.
Avatar of the user.
軟韌體研發工程師 @台灣佳能
2014 ~ Présent
軟韌體工程師
Dans 2 mois
C++
Java
Swift/iOS
Employé
Temps plein / Je ne suis pas intéressé par le travail à distance
6 à 10 ans
淡江大學
資訊工程所

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Dans 1 an
CV演算法工程師 @ Viscovery(創意引晴)
Viscovery(創意引晴)
2019 ~ Présent
台灣台北市
Professional Background
Statut Actuel
Progrès de la Recherche d'Emploi
Professions
Back-end Engineer
Fields of Employment
Expérience Professionnelle
2 à 4 ans
Management
Compétences
Python
Docker
Git
CI/CD
Jenkins
Ansible
Terraform
Linux
AWS
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後端工程師、演算法工程師、TPM
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Intéressé par le travail à distance
Freelance
Éducation
École
淡江大學
Spécialisation
資訊管理
Imprimer
Oztwwwbbxxmcciobgzjx

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

Git
Linux

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

Resume
Profile
Oztwwwbbxxmcciobgzjx

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

Git
Linux

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