Red Hat Certified Engineer (RHCE) In Ansible

ML and AI Completion Labs

Google Cloud Platform (GCP)- Build Your Own Cloud Infrastructure

Computer Vision - Object Tracking with OpenCV Linear Regression with Pythonand Python

Git & GitHub

Machine Learning Pipelines with Azure ML Studio

Introduction to Machine Learning

Computer Vision - Object Tracking with OpenCV and Python

Ansible Industry Expert Sesssion

Red Hat Certified Specialist in Containers and Kubernetes

Virtual Experience Program Participant

10+2

BTech - Bachelor of Technology

- Started as DevOps Trainee and progressed to DevOps Engineer, maintaining the infrastructure on AWS Cloud for Python and Web Development teams and helped them to create applications faster by setting up CI/CD Pipelines and infrastructure on AWS.
- Automating the infrastructure using AWS CDK. We have created a in-house cdk helper library built to manage infrastructure of AWS services using cdk Python. Library contains highly used services coded using cdk and allows for easy management by passing key-values. It is hosted on CodeArtifacts.
- Setup ElasticBeanstalk for the web application where all the servers using single Application LoadBalancer, configured all the required load balancing rules. These Beanstalk servers are containerized servers and all the applications are dockerized.
- Maintained the DNS records on the Route53, managing multiple hosted zones.
- Firstly, setup the CI/CD Pipelines on GitHub using GitHub Actions from scratch. Now migrated all the CI/CD pipelines on the AW

DevOps Engineer

Joined as DevOps Trainee Intern and maintained the infrastructure on AWS cloud. Automating the
infrastructure using AWS CDK. Setup the CI/CD pipelines on GitHub using GitHub Actions from scratch.
Managing the servers on AWS Lambda. Setup SAM CLI for local testing or server testing. Also work on
various AWS Services like S3, Lambda, EC2, ECS, ECR, CloudWatch, System Manager, Secret Manager,
ApiGateway, IAM, and others.

DevOps Trainee

Terraform

BigData

ARTH is not a program its a PROCESS towards 'Making India Future Ready'. Here I worked on the various latest technologies and integrated them. Explored various algorithms of Machine Learning and Deep Learning. Created strategies to deploy any app using DevOps tools i.e., Terraform, Jenkins (CI/CD), Containerization tool Docker, Docker management tool Kubernetes, AWS, Azure. Explored Data Structure and Algorithms. Worked on Apache HTTPD server on Linux environment.

ARTHians

 AWS CSA & CSD

Python Tranee

Machine Learning & Deep Learning

Summer Program 2021

It was very exclusive training and got to learn tons of concepts of Jenkins. Vimal Sir is awesome in technical world.

Jenkins CI/CD

This is the most interesting and most demanding technology that I have learned from Mr. Vimal Daga sir. Learned all the concepts of EX294 and an amazing session with two industry experts Mr. Srijit Anujan (Principal Instructor Redhat) and Mr. Arun Eapen (Director, APAC Service Delivery, GLS Redhat AsiaPacific).

Ansible(EX294)

In today's world everyone is moving towards containerization and Kubernetes, which have the ability to manage containers. And I learned it with Mr. Vimal Daga Sir, who is known as an industry expert in the technical field.

Kubernetes CKA & CKAD

I have got to learn more then the agenda that DO180 curriculum has. We cover lots of concepts of Openshift and Podman under Vimal Daga sir's mentorship.

OpenShift (DO180)

Engineering Manager

I’m Hemendra, working in a startup doing all nitty gritty stuff that can be done by an engineer.

github

Know about Hemendra Chaudhary's work experience, education, and much more. Hemendra Chaudhary