Cloud & DevOps Enthusiast — CI/CD • Containers • AWS • Python
I like turning “it works on my machine” into repeatable, secure pipelines.
QA roots taught me to value fast feedback loops, clear signals, and predictable outcomes.
- ⚡ Ship small, ship often: lint → test → scan → build → publish → deploy
- ✳️ Bias for simplicity: small YAML, small images, small steps → reliable results
- 📝 Docs for humans: short TL;DRs + copy-paste blocks that help the next person (often me)
- 🔐 Secure by default: CodeQL & Trivy in CI; least-privilege IAM wherever possible
- 🏅 AWS Certified Cloud Practitioner (CCP) — foundations of core AWS services, security, pricing/modeling, and cloud architecture; comfortable designing small pipelines and packaging/deploying containers.
- ☁️ Google Cloud Ready Facilitator — completed hands-on Qwiklabs quests covering IAM, compute, networking, serverless, storage & container services; mentored peers during labs.
- 🎯 Next up: AWS Solutions Architect – Associate (in progress)
A clean, automation-first CI/CD demo that bakes in feedback and code quality.
Repo:
https://github.com/saiakhil-devops/github-actions-devops-pipeline
Live status badges
What it shows
- Multi-stage workflow: lint → test → scan → build → deploy
- CodeQL + Trivy integrated without slowing delivery
- Health surfaced as README badges so status is always obvious
Containerized Python app + GitHub Actions → GHCR → AWS ECS/ECR deployment.
Repo:
https://github.com/saiakhil-devops/aws-devops-pipeline-demo
Live status badges
What it shows
- Full-stack delivery: Dockerized app → AWS ECS/ECR (Fargate)
- Secure supply chain: Actions + OIDC + CodeQL + Trivy
- Portable IaC/structure for dev/stage/prod with reproducible environments
- Found a rough edge or have an idea? Open an issue or PR—I love learning from real use-cases.
- If any repo helped you, a ⭐️ on GitHub genuinely fuels my next sprint.
- Prefer DMs? Reach me on LinkedIn or via email above.