Passionate Cloud Computing student with a strong foundation in Docker, Kubernetes, and DevOps methodologies. Experienced in containerization, orchestration, and cloud-native application development, with hands-on projects deploying ML models, databases, and microservices in Dockerized and Kubernetes environments. Proficient in Python, Streamlit, Flask, and Evidently AI for building interactive dashboards and monitoring ML models. Active in technical communities, leading events as Events Head at UPES-CSA and driving initiatives in cloud computing and DevOps. Always eager to explore emerging technologies and contribute to open-source projects.
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Education
This project demonstrates how to deploy a Streamlit application that connects to a PostgreSQL database using Docker. The application fetches and displays passenger data stored in PostgreSQL, ensuring a seamless and containerized workflow.
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The "MySQL_Docker" offers a guide to deploying MySQL databases using Docker.
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The "Titanic Project" tells us about the prediction f titanic survivals
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The "Docker_FastAPI" repository demonstrates the deployment of a full-stack application using Docker.
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The "MySQL_Docker" repository provides a guide to deploying MySQL databases using Docker.
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The "Streamlit_Evidently" repository integrates Streamlit with Evidently AI for ML monitoring.
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The "Minikube-and-Kubectl" repository provides a guide for Kubernetes cluster management.
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The We will examine how containers within the same custom bridge network can communicate, while those on different networks remain isolated
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explores Docker Networking, focusing on creating and managing Docker networks that allow containers to communicate
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This guide provides step-by-step instructions on setting up and using Packer to create a machine image (AMI) on AWS.
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