I build secure, observable and production-minded backend systems using Python, FastAPI, Docker and modern DevOps practices.
- ☁️ Building Cloud and DevOps portfolio projects with real deployments
- 🐍 Developing backend APIs using Python, FastAPI and Pydantic
- 🐳 Containerizing applications with Docker and Docker Compose
- 🔄 Automating tests through GitHub Actions and CircleCI
- 📊 Implementing observability with Prometheus and Grafana
- 🔐 Applying API-key authentication, rate limiting and secure secret management
- 🛡️ Building secure APIs with API-key authentication, rate limiting and environment-based secrets
- 🌱 Continuously learning production deployment and reliability engineering
OpsSage AI is a secure, multi-agent DevOps assistant and an end-to-end portfolio case study demonstrating backend development, containerization, CI/CD, observability and cloud deployment.
- FastAPI multi-agent backend with interactive Swagger documentation
- Docker and Docker Compose deployment
- GitHub Actions and CircleCI test pipelines
- Prometheus application metrics and alert rules
- Provisioned Grafana monitoring dashboard
- API-key authentication with constant-time comparison
- Per-key rate limiting with HTTP
429andRetry-After - Secure environment-based secret management
- Public deployment on Render
- Automated Pytest test suite
| Area | Skills demonstrated |
|---|---|
| Backend Engineering | Python, FastAPI, REST APIs, Pydantic, Pytest |
| DevOps & Delivery | Docker, Docker Compose, GitHub Actions, CircleCI, Render |
| Observability | Prometheus metrics, alert rules, Grafana dashboards |
| Security | API keys, rate limiting, secret management, API security |
| Collaboration | Git, feature branches, pull requests, releases and documentation |
OpsSage AI includes production-focused API protection:
X-API-Keyauthentication for protected AI endpoints- Constant-time API-key comparison
- Per-key request rate limiting
Retry-Afterheaders for rate-limited clients- Environment-based secret management
- Clear
401,429and503responses - Public monitoring endpoints separated from protected AI execution
- Automated authentication and rate-limit tests
Secure and observable FastAPI application demonstrating Docker deployment, CI/CD automation, Prometheus, Grafana, API security and a public client demo.
- Cloud and DevOps engineering
- Backend automation with Python
- Secure API development
- CI/CD pipeline engineering
- Monitoring and observability
- Container security and deployment reliability
I am open to opportunities and collaborations involving:
- Cloud and DevOps engineering
- Python backend development
- CI/CD automation
- Application and API security
- Monitoring and observability
📌 Explore my work: github.com/amitp98414 🚀 Try OpsSage AI: opssage-ai.onrender.com/demo
Building secure systems. Automating delivery. Improving reliability.
Contributions are welcome — see CONTRIBUTING.md for guidelines on forking, branching, testing, and submitting a pull request.
If you discover a security vulnerability, please do not open a public issue. See SECURITY.md for private reporting options and guidance on responsible disclosure.