This repository contains the slides and code samples used in my recent presentation on AWS, covering topics such as EC2, storage, price optimization, security, and scalability.

A full-stack application ( Basic ) demonstrating professional AWS deployment strategies using Node.js, Nginx, and cloud infrastructure. The project provides a comprehensive guide for deploying web applications on AWS EC2, with support for containerization, process management . Key technologies: AWS, React.js, Socket.io, Node.js, Nginx, PM2, Docker.

페이히어 기업과제입니다. 회원가입 후 목적에 따라 가계부 생성이 가능하고 수입, 지출을 관리할 수 있습니다.

The DevOps project involves deploying a static web application on a container using Terraform and AWS EC2.

Simple Bash scripts for AWS, SMTP, Graphical scripts and more

여행객들을 위한 통합 플랫폼 JourneyMate

A robust API server for managing deliveries and orders, built using Node.js, Express.js, and MongoDB. This project provides user authentication, CRUD operations, error handling, and more. It's designed to streamline the process of creating and managing delivery services with a secure and efficient backend.

In this project, I developed a serverless solution to automate the starting and stopping of Amazon EC2 instances using AWS Lambda and CloudWatch EventBridge. The primary goal was to reduce operational costs by ensuring that EC2 instances are only running when needed.

Monitoring the CPU utilization of an EC2 instance

Personalized AI discord bot trained on my own messages

This repo is developed to perform the sentiment analysis on Arabic tweets using AWS Comprehend and Arsent Dictionary based approach.

Simple Jobs API built in Node.js and deployed on AWS

Built an image recognition pipeline using AWS JAVA SDK. AWS services used were AWS S3, AWS EC2, AWS SQS, AWS Object detection and AWS Object Rekognition.

server for byte's website!

Terraform module which creates a docker instance resource on AWS.

Terraform module which creates a docker instance resource on AWS.

Terraform module which creates a docker instance resource on AWS.

In this NLP (Natural Language Processing) project, I address the challenge of classifying Stack Overflow comments as belonging to the 'Python' programming language or not. This project revolves around a binary classification task, where I leverage the power of NLP and machine learning techniques to make informed decisions.

Inspektlabs' AI-assisted technology is quick, easy and 95%-99% accurate in detecting vehicle damage.