DevOps & Cloud Engineer
Building my DevOps foundation — one pipeline, one cluster, one terraform apply at a time. AWS Certified. Hands-on with Docker & Kubernetes. Learning AI fundamentals on the path to MLOps.
I'm a DevOps engineer in the learning phase — actively building real projects, earning certifications, and growing my cloud & automation skillset every day. Currently working as an Associate Engineer at Bassetti India while dedicating my own time to hands-on DevOps practice.
I have practical, hands-on exposure to Docker and Kubernetes — I've deployed apps, configured services, and set up monitoring stacks. I understand how they work and I'm comfortable getting my hands dirty, though I know I'm still building depth and there's a lot more to learn.
On the CI/CD side, I can read, understand, and follow Jenkins and GitHub Actions pipelines — I've built simple ones myself and I understand the stages involved. With proper guidance and real-world exposure, I'm confident I can ramp up quickly to more complex workflows.
My next goal is MLOps — I'm currently learning AI and ML fundamentals so I can eventually bridge the gap between DevOps infrastructure and machine learning workflows. I'm not there yet, but I'm deliberately building toward it.
The tools I reach for to ship reliable, automated, cloud-native systems.
Amazon Web Services — Official Certification · Validated cloud fundamentals, core services, security, and pricing models across the AWS ecosystem.
Real-world projects covering the full DevOps spectrum — from pipelines to production observability.
Followed a DevSecOps pipeline setup using Jenkins and Argo CD for a streaming application. Integrated SonarQube for code quality checks and Trivy for container image scanning. Deployed to a local Kubernetes (KIND) cluster using GitOps principles — a great learning experience in building security into the pipeline.
Deployed a containerized Text Analyzer app on Kubernetes (KIND), configured with multiple replicas and NodePort services. Set up Prometheus and Grafana to monitor the cluster and visualize basic metrics. Gained practical understanding of how container orchestration and observability fit together.
Built a simple CI/CD pipeline for a Node.js application using Jenkins and GitHub Actions. Covers the core stages — code checkout, build, Docker image creation, and deployment to AWS. Helped me understand how automated pipelines actually work end-to-end.
Hands-on Terraform learning repository covering AWS resource provisioning — EC2, S3, IAM, and more. Working through state management, module structure, and how IaC makes infrastructure reproducible and version-controlled. Still learning, but getting more comfortable with every apply.
Deployed a static website on AWS S3 with automated CI/CD via GitHub Actions. Configured bucket policies, static hosting, and automated deployment on every push to main — no server, no problem.
A simple local RAG (Retrieval-Augmented Generation) system built to learn how chunking and vector search work under the hood — powered entirely by local AI, no cloud required.
Designed and deployed a Node.js app using Docker Compose with Blue-Green strategy. Implemented zero-downtime deployment using Nginx upstream switching. Built CI/CD pipeline using GitHub Actions with Trivy security scanning. Deployed and managed infrastructure on AWS EC2 Free Tier
Where I've applied DevOps thinking to real engineering challenges.
I'm an Associate engineer actively looking for opportunities in DevOps & Cloud to learn in a real team environment. I have hands-on project experience, an AWS certification, and a genuine drive to grow — I just need the right environment to do it.
Whether it's a junior role, or a collaborative project — if you value growth mindset over years of experience, let's talk.
Looking for: Junior DevOps Engineer · Cloud Engineer · Cloud Support · Entry-level SRE