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An end-to-end ML model deployment pipeline on GCP: train in Cloud Shell, containerize with Docker, push to Artifact Registry, deploy on GKE, and build a basic frontend to interact through exposed endpoints. This showcases the benefits of containerized deployments, centralized image management, and automated orchestration using GCP tools.

Home Page: https://medium.com/@shreyjain203/deploying-a-machine-learning-model-to-production-website-using-containers-gke-a-step-by-step-d2f17cc30643

Dockerfile 13.67% Python 45.39% HTML 40.94%
artifact-registry docker-container docker-image google-cloud-platform google-kubernetes-engine kubernetes-deployment machine-learning-deployment ml-deployment

machine-learning-model-to-production-website-using-gke's Introduction

Hi there ๐Ÿ‘‹

I am Shrey Jain, a Machine Learning Engineer who is interested in creating deep learning models, deployment architecture, microservices, containers, and cloud-native technology. I encourage the use of automation wherever possible and I think that everything can be automated. I want to share everything I've learned throughout my data Journey, which is why I have started contributing actively to Medium blogs to disseminate valuable information to the broader community.

๐Ÿ”ญ My Expertise

  • Programming and Machine Learning: Python, PyTorch, Numpy, Flask, Django, Deep Learning, SpaCy, NLP, Transformers, Large Language Models (LLM)
  • Cloud Platforms: Google Cloud Platform (BigQuery, GCE, GCS), AWS (Redshift, Athena, EC2, S3)
  • Containerization and Orchestration: Docker, Kubernetes, Google Kubernetes Engine (GKE)
  • Web Experimentation: Causal Analysis, A/B Testing, Hypothesis testing, Statistics, Quantitative Analysis, Experimental Design
  • Database Management: SQL (Postgres, MySQL, MS SQL Server), MongoDB, Hadoop, Hive, Scala, Snowflake
  • Artifact and Container Registries: Google Artifact Registry, Google Container Registry
  • Web (REST API) Development: Flask
  • Data Manipulation and Analysis: Pandas, Excel
  • Web Scraping and Automation: BeautifulSoup, Selenium, Python Automation
  • Data Visualization: Looker, Matplotlib, Seaborn, PowerBi, Tableau, Metabase
  • Version Control: Git, GitHub
  • Workflow Management: Apache Airflow, Cloud Composer, MWAA (Managed Workflows for Apache Airflow)
  • Big Data and Distributed Computing: Databricks, pyspark, Data Proc, EMR (Elastic MapReduce)
  • Others: Slack API, Cron

๐ŸŒฑ Iโ€™m currently learning

Machine learning and deep learning techniques to enhance my skills in developing models for various applications.

๐Ÿ‘ฏ Iโ€™m looking to collaborate on

End-to-end deployment of ML/DL models.

๐Ÿ“ซ How to reach me:

LinkedIn: https://www.linkedin.com/in/shreyjain203/

GitHub: https://github.com/Shreyjain203/

Gmail: [email protected] | [email protected]

StackOverflow: https://stackoverflow.com/users/11679722/shrey

Instagram: https://www.instagram.com/shreyrerere/

Personal Website: https://shreyjain203.github.io/

Medium: https://medium.com/@shreyjain203

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