// aspiring devops & cloud engineer
Transitioning from an IT infrastructure and network engineering internship into DevOps, backed by self-driven hands-on practice across AWS, containers, CI/CD, and infrastructure automation. Primary hands-on focus in AWS, with foundational working exposure to Microsoft Azure and Google Cloud Platform.
About
B.Tech Computer Science graduate transitioning from an IT infrastructure and network engineering internship into DevOps. I combine a grounded Linux, networking, and systems-support foundation with practical experience building automated deployment pipelines, provisioning cloud infrastructure as code, and monitoring environments.
📍 Nagpur, Maharashtra, India
Core Engineering Focus
Skills
Hands-on technologies and tools applied throughout self-learning labs and professional internships.
AI & Automation
Applying modern AI tooling practically to accelerate deployment workflows and automate toil.
An AI-powered verification utility built with Python to analyze forwarded text messages and screenshots, with logic structured to process regional language inputs across Indian dialects.
I use generative AI tooling as a force multiplier for scripting and operations: drafting initial Terraform resource definitions, constructing Bash automation boilerplate, synthesizing regex filters for logs, and reasoning through error traces—verifying and testing every artifact manually.
Projects
Practice Projects
Self-driven, hands-on implementations built to simulate real cloud and pipeline architectures.
Journey
Connect
Always happy to connect regarding cloud automation, Linux administration, and DevOps opportunities.