--:-- [IST]
status: ONLINE
learning_streak: 69_DAYS
k8s_clusters: 2
containers: 40+
root@host:/var/www/portfolio# ./execute_profile.sh
saksham.
Cloud & DevOps Engineer | Automating the chaos

CS engineer building production infrastructure on the cloud. I work with Kubernetes, AWS, and CI/CD pipelines — the invisible layer that makes software actually run. Currently working through KodeKloud's 100 Days of Cloud and building a local AI inference stack on Minikube. I care about understanding the why, not just copying commands.

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OSLinux / Cloud Native HostDelhi, India KernelB.Tech CS Engineering Uptimecalculating... Packagesdocker, k8s, terraform Shell/bin/bash Mission100_days_cloud
01 Deployments
cd ~/github/repos/
Full-stack agile project management platform. Features sprint risk scoring algorithms, drag-and-drop Kanban, radar-based sprint health visualization, and a Gemini AI assistant. Backend built with FastAPI, frontend with Next.js. Containerized for K8s deployment.
Next.jsFastAPIDockerK8sAWS
Production-style AI travel planner with automated CI/CD. Containerized using Docker, hosted on AWS EC2, configured with Nginx reverse proxy, and automated deployments through GitHub Actions.
Next.jsDockerAWSActionsTerraform
Complete CI/CD DevSecOps pipeline using Jenkins, GitHub, and Docker Hub. Automates build, testing, containerization, and deployment. Integrated Maven, JUnit, and SonarQube for code quality checks.
JenkinsSnykTrivySonarqube
02 Tech_Stack
AWS
Kubernetes
Docker
Terraform
Ansible
Linux
Prometheus
Grafana
Python
GitHub Actions
Bash
Redis
03 Live_Terminal
saksham@tty1~
04 Git_Activity
tail -f /var/log/github.log
0 Commits (365d)
[ Fetching github metrics... ]
05 Ping_Me