Experience my DDoS Attack Detection and Mitigation project, a groundbreaking initiative where I harnessed the power of virtual SDN and machine learning. Witness how Mininet and Ryu controller combine to create a resilient network defense, efficiently detecting and mitigating DDoS attacks.

Notes Api a secure and scalable RESTful API that allows users to create, read, update, and delete notes. The application also allow users to share their notes with other users and search for notes based on keywords.

Discover my Python Reverse Shell project, featuring both a versatile Multi-Client and a Single-Client version. This innovative project empowers remote access and efficient computer management, showcasing the flexibility and power of Python programming. Dive into this dual-purpose solution now!

MicroVid2Audio is the ultimate video-to-audio converter, powered by a suite of modern technologies including microservices, RabbitMQ messaging, Docker, Kubernetes, and Python. Our platform enables fast, high-quality audio conversion for content creators, media professionals, and anyone who needs great audio from their video.

Developed and implemented a robust CI/CD pipeline on AWS EC2 using Jenkins, resulting in a 75% reduction in time-to-market for software releases.Leveraged the capabilities of Maven, SonarQube, Argo CD, Helm, and Kubernetes to streamline the software development process and improve efficiency by automating build, test, and deployment processes.Improved quality control across all stages of the software development lifecycle by implementing automated testing and deploying processes through the ultimate CI/CD pipeline. This resulted in a 90% reduction in defects found during user acceptance testing..

Developed a Django Authentication & User Management web app enabling seamless image posting with robust permission controls, showcasing proficiency in web development and security implementation

Forecasted time taken for completing 100% total vaccinations of a particular region over the time using Time series forecasting. Analysed real-time data of COVID-19 which has around 67 columns and 200k rows!!Used feature engineering technique for time series data. Used pycaret library for model prediction(Huber regression) with least RMSE of 0.1678 and R2 value of 0.9974