Hi, my name is
Bridging the gap between development and operations. Passionate about automating workflows, building robust cloud infrastructure, and ensuring system reliability.
I graduated as a Mechanical Engineer from NIT Agartala, where I developed a strong foundation in problem-solving and analytical thinking.
Currently, I am working at Larsen & Toubro as a Graduate Engineer Trainee (Quality Engineer). While ensuring strict quality standards and optimizing processes in the physical world, I discovered my true passion: optimizing systems in the digital world.
This realization sparked my transition into DevOps and Site Reliability Engineering (SRE). I am deeply invested in the principles of automation, infrastructure as code (IaC), and cloud computing. I spend my time outside of work building pipelines, containerizing applications, and architecting scalable deployments on AWS.
My mechanical engineering background gives me a unique perspective on system architecture—treating code and infrastructure as precise, interconnected machines that must run reliably at scale.
const satyam = {
currentRole: "GET @ L&T",
transitioningTo: "DevOps / SRE",
passions: [
"Cloud Infrastructure",
"Automation",
"CI/CD Pipelines",
"System Reliability"
],
drive: "100%"
};
A multi-container web application fully dockerized using Docker Compose. Features a Node.js backend, React frontend, and a PostgreSQL database. Implemented multi-stage builds to optimize image sizes and configured secure network bridges between containers.
Designed and implemented an automated CI/CD pipeline using GitHub Actions. The pipeline lints code, runs unit tests, builds Docker images, pushes them to DockerHub, and automatically triggers a staging deployment upon PR merges to the main branch.
Provisioned a highly available AWS architecture using Terraform. Automated the creation of a VPC, public/private subnets, Internet Gateways, Application Load Balancers, and Auto Scaling EC2 instances to host a fault-tolerant web server.
Orchestrated a sample microservices application on a local Minikube cluster. Created YAML manifests for Deployments, Services, ConfigMaps, and Secrets. Implemented rolling updates and basic monitoring using Prometheus and Grafana Helm charts.
From mechanical principles to software infrastructure, here is the roadmap of my continuous learning.
Started at the foundation. Switched completely to a Linux environment. Learned shell scripting, file permissions, networking basics, and version control using Git to manage codebase history efficiently.
Fell in love with "it works on my machine" solutions. Learned to write efficient Dockerfiles, manage multi-container apps with Docker Compose, and understand container networking and volumes.
Took the infrastructure to the cloud. Explored core AWS services like EC2, S3, IAM, VPC, and RDS. Learned how to provision resources securely and architect fault-tolerant systems.
Scaled up the containers. Learned Kubernetes architecture, Pods, Deployments, Services, and Ingress. Currently exploring Helm charts and cluster management to handle complex microservices.
Connecting the dots. Building automated pipelines using GitHub Actions to continuously integrate, test, and deploy code. Currently diving deeper into Infrastructure as Code (IaC) with Terraform.
What's Next?
I am actively looking for opportunities in DevOps, Cloud, and SRE roles. Whether you have a question, an opportunity, or just want to say hi, my inbox is always open!