Rahulkumar Choudhary

DevOps Engineer πŸ‹ and Cloud Computing Enthusiast ☁️

My Projects

A collection of projects I've worked on, from Kubernetes to AWS to open source contributions.

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Real-Time DDoS Attack Detection System

Real-Time DDoS Attack Detection System

Initiated and predicted DDoS attacks using AWS-hosted attacker systems, tshark for traffic capture, and a Gradient Boosting Classifier for detection, improving real-time attack detection accuracy by 30%. Published DDoS attack results to a web app via Firebase, improving user awareness and response times during security incidents

DockerTerraformPythonAWSML
Cloud-based Kubernetes Multi-node Cluster Automation

Cloud-based Kubernetes Multi-node Cluster Automation

Parallelly initiated EC2 instances master and worker nodes using an optimized asynchronous approach. Incorporated Ansible's Dynamic Inventory for efficient gathering of instance public IPs, ensuring automatic connection of all workers with the master. Optimized EC2 instance initiation asynchronously, reducing setup time by 40% and accelerating system startup

AWSPythonAnsible
Facial Recognition-Enabled ML Model for Automated Launch of AWS Resources

Facial Recognition-Enabled ML Model for Automated Launch of AWS Resources

Developed a facial recognition ML model with OpenCV to automate AWS resource provisioning via Terraform and trigger email notifications, increasing process speed by 3x. Deployed the model in a Docker container to ensure consistent environments, reducing errors by 40% and enhancing scalability

PythonResearchAWS
Hadoop HDFS Cluster Configuration Automation

Hadoop HDFS Cluster Configuration Automation

Automated Hadoop cluster setup with Ansible, improving efficiency and reducing manual configuration by 80%

HadoopAnsible