Harsh User
@harshuser4
DevOps Engineer skilled in cloud-native automation, CI/CD, and infrastructure as code.
What I'm looking for
I am a B.Tech in Computer Science (AI & DS) with hands-on internship experience in DevOps at Cognizant, focused on cloud-native automation and reproducible infrastructure.
At Cognizant I built CI/CD pipelines using Jenkins, Docker, and AWS CodePipeline, automated infrastructure provisioning with Terraform (EC2, S3, IAM), and used Ansible and shell scripting for configuration management on Linux systems.
My projects include an end-to-end automated static website deployment on AWS using Terraform, CodeBuild, CodePipeline and GitHub integration, plus ML projects like a CNN–LSTM model for lung sound classification and real-time ALPR systems using MobileNet, InceptionV3, and ResNet50.
I am certified in core DevOps tools via Udemy and proficient in AWS, Terraform, Docker, Kubernetes, Jenkins, Ansible, Git, and Python; I seek opportunities to apply automation and cloud infrastructure skills in collaborative, agile teams.
Experience
Work history, roles, and key accomplishments
Built CI/CD pipelines and automated infrastructure provisioning on AWS using Jenkins, Docker, CodePipeline and Terraform, improving reproducibility and deployment automation; used Ansible and shell scripting for configuration management in an Agile team.
Education
Degrees, certifications, and relevant coursework
SASTRA Deemed University
Bachelor of Technology, Computer Science Engineering (AI & DS)
2021 - 2025
Grade: 7.27 CGPA
Activities and societies: Member and organizer in university clubs; participated in technical and cultural events.
Pursuing B.Tech in Computer Science Engineering (AI & DS) with coursework and projects focused on AI, deep learning, and cloud-native DevOps practices.
Oxford International Sr. Sec. School
Class XII (CBSE), Science
2019 - 2021
Grade: 95.2%
Completed Class XII (CBSE) in Science stream with a focus on foundational STEM subjects.
Oxford International Sr. Sec. School
Class X (CBSE), General
Grade: 94.2%
Completed Class X (CBSE) demonstrating strong academic performance.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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