My Projects
A collection of projects I've worked on, from Kubernetes to AWS to open source contributions.
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
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
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
Hadoop HDFS Cluster Configuration Automation
Automated Hadoop cluster setup with Ansible, improving efficiency and reducing manual configuration by 80%