The Complete Introduction To C++ Programming 

Advent of Cyber 2021

Deploy to Kubernetes in Google Cloud

SSOC

Python Essentials 1

Migrating a Monolithic Website to Microservices on Google Kubernetes Engine

Master The C Programming Language

Cloud Native Security Conference - DevSecOps

AWS Machine Learning Foundations

PRDV151: Bitcoin for Everybody

CS120: Bitcoin for Developers I

AI Programming with Python Nanodegree

I am interested in contributing to open source projects and currently contributing projects on GitHub.

Open Source contubuter

Bachelor's degree

* Found type of hashing algorithm used in leaked password database using hashcat
* Found level of protection does the mechanish MD5 offers for passwords
* Gave suggestion which can be implemented to make cracking much harder for the hacker in the event 
  of a password database leaking again

FinTech Engineering Virtual Experience Program

Team Member of GeeksForGeeks College ChapterTeam

Core Member

Tech Enthusiast | DevOps | C/C++ | Python | Docker

github

hashnode

Chirag Biradar • Student at KLE Technological University - Hubballi (India) • Peerlist Profile

Engineered a microservices-based architecture for a video to audio converter application, utilizing RabbitMQ 
message queuing and authentication and notification microservices to enhance security and communication, 
resulting in a 50% reduction in processing time.
Designed and developed an email notification system upon job completion to improve user experience, 
resulting in a 25% increase in user retention.
Created efficient container images using Docker, resulting in a reduction of deployment time by 60% and a 40% increase in scalability.

MicroVid2Audio (video to audio converter)

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.

Ultimate CI/CD Pipeline Implementation

In this work, a random forest machine learning algorithm is used to develop a model that can automatically identify and mitigate DDoS assaults in SDN networks. All of the traffic flow entries are regularly collected by the model, which then extracts the native flow features and expands them by including additional features. A detection module uses five criteria to categorize each flow as normal or anomalous. When an attack is discovered, its source is prevented. Three ML algorithms were assessed with regard to the classification ML method utilized in the detection module, including random forest, SVM, and KNN. The outcomes of the experiment demonstrated that RF is the best classifier for the generated network. Without disrupting regular traffic, the implemented methodology proved effective at swiftly and correctly identifying and thwarting threats.

DDoS Attack Detection and Mitigation using Machine Learning 

Hello World Solidity Contract

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.

Hiring Talent?

Chirag Biradar

Tech Enthusiast | DevOps | C/C++ | Python | Docker