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Over Night Success!
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Over Night Success!
8 followers · 17 following

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Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2

Achievements

Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2

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duvindu-embuldeniya/README.md

Hi there 👋

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💻 I optimize system performance and manage cloud deployments on both AWS and GCP, with a strong focus on scalability, reliability, and secure infrastructure.

🚀 I learn by breaking down and rebuilding systems to understand their inner workings. By prototyping and experimenting, I stay adaptable and constantly improve my knowledge. I aim to collaborate on innovative projects and work within teams to develop impactful applications. Building scalable systems and expanding my knowledge are my top priorities.

☁️ My focus is on building efficient, user-friendly platforms with seamless functionality.

Django DRF Python PostgreSQL AWS GCP Cloudflare Heroku Render Nginx Linux Bash Prometheus Grafana Git Docker Kubernetes CI/CD Terraform Ansible React JavaScript

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  1. AWS-Infrastructure-with-Terraform-and-Jenkins AWS-Infrastructure-with-Terraform-and-Jenkins Public

    This is the development version of the application. Before deploying to production, the necessary components should be replaced with cloud-based solutions for better scalability and persistence.

    HCL

  2. Render-Infrastructure-with-Terraform-and-Dual-Workflow-Pipeline Render-Infrastructure-with-Terraform-and-Dual-Workflow-Pipeline Public

    This is the development version of the application. Before deploying to production, the necessary components should be replaced with cloud-based solutions for better scalability and persistence.

    Python

  3. Resilient-Deployment-Framework Resilient-Deployment-Framework Public

    This is the development version of the application. Before deploying to production, the necessary components should be replaced with cloud-based solutions for better scalability and persistence.

    Python

  4. Stock-Prediction-Portal Stock-Prediction-Portal Public

    This project predicts stock prices using the previous 30% of historical data against the test set. Instead of forecasting future prices, it evaluates the model’s accuracy on known data, providing a…

    Jupyter Notebook