Hi I'm

Rahul

Welcome to my portfolio website! I'm a passionate and aspiring DevOps Engineering with a strong desire to create innovative solutions and push the boundaries of technology.With a deep love for cloud, I am constantly seeking opportunities to learn and grow in this ever-evolving field

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About Me

I am currently pursuing my final year Bachelor's Degree in Compuer Science and Engineering.I have built a solid foundation in DevOps Engineer and Machine Learning particularly in areas such as Python, AWS, MySQL, Git, Linux, Docker, CI/CD and More.
My expertise in these areas allows me to approach projects with confidence and deliver high-quality results.I have a strong belief in the value of continuous learning and staying adaptable in the ever-evolving world of DevOps engineering.
I actively seek out opportunities to expand my knowledge and skills, embracing new technologies and approaches.Feel free to explore my work and get in touch if you have any questions or opportunities to collaborate.

Name: Rahul Kumar
Age: 23
From: India
Email: krahul088176@gmail.com
Availabiltiy: Fulltime
Experience: Fresher

Education

B.Tech CSE

IIMT COLLEGE OF ENGINEERING,GREATER NOIDA

2020-2024

Diploma in Electronics and Communication Engineering

Government Polytechnic Manesar, Gurugram

2017-2020

SSLC (Xth)

St. Joseph's Public School, Dalsinghsarai

2016-2017

Internship

Machine Learning Intern

Suvidha Foundation (Suvidha Mahila Mandal)

Feb-2024-Mar-2024

Throughout my tenure as a Machine Learning Intern at Suvidha Foundation, I had the enriching opportunity to engage with a myriad of captivating projects spanning the realm of Artificial Intelligence. These experiences not only broadened my understanding of Machine Learning but also fueled my passion for delving deeper into this dynamic field.

Artificial Intelligence

VIO_S (AICTE)

Nov-2023-Dec-2023

During my Artificial Intelligence Internship at AICTE, I had the privilege of working on many exciting projects that are related with Machine Learning, and that allowed me to delve deeper into the world of Artificial Intelligence.

My Projects

Discover my projects, where creativity meets innovation

Node.js Web Application

To deploy a Node.js web app, begin by cloning the Git repo. Utilize Docker to build the code, ensuring consistency across environments. Employ Jenkins for (CI/CD) to automate the entire process, from testing to deployment. Push the Docker image to Docker Hub for accessibility. And deploy the app on an AWS EC2 instance for scalability and reliability. This streamlined approach enhances development efficiency and ensures seamless deployment, empowering teams to focus more on innovation rather than repetitive tasks

Two-tier Application Deployment

Deployed a Two-tier Flask-MySQL app to handle 10,000 concurrent users, implementing top-tier DevOps practices. Dockerized the app and orchestrated it on Kubernetes via Kubeadm and later on AWS EKS for fault tolerance. Utilized Helm for manifest management, ensuring high availability with a multi-node setup and Load Balancer. Achieved a 60% downtime reduction and enhanced scalability using AWS Managed EKS.

Diabetes Prediction Web Application

In this project, our objectives is to predict whether the patient has diabetes or not base on various features. During Model evaluation used the Support Vector Machine Algorithm for prediction. Then we create a web app using StreamLit which is a Python framework.