I'm a software developer with a focus on building cloud-native systems, scalable backends, and clean automation pipelines. I enjoy solving real-world problems through thoughtful design, from infrastructure to data. My work spans DevOps, machine learning, and software testing.
Highlights:
- Infrastructure-as-Code with Terraform, supporting multiple AWS environments
- Automated CI/CD with GitHub Actions and Docker-based builds
- Secure authentication via AWS Cognito and IAM roles
- Scalable backend using FastAPI + PostgreSQL on RDS
- S3 integration for storing user templates and logs
- CloudWatch for logging and alerting
Stack: Python • Pandas • Amazon QuickSight • AWS Athena • PyTorch Highlights:
- ETL with AWS Glue + Athena querying large-scale open data
- Predictive modelling with PyTorch
- Cloud dashboards with Amazon QuickSight
- Notebook-based EDA and training workflows
Highlights:
- Full CI/CD pipeline on GitHub Actions
- Automated builds and regression testing
- Code coverage reports + test summaries on pull requests
Highlights
- 9 Person Team
- Using Python's computer vision libraries to track ball movement
- Analysed trajectories using physics modelling and Kalman filters
- Interfaced with pistons to move lines of players to intercept and kick the ball
- Further Cloud Development tools and technologies including Kubernetes and advanced AWS and Azure
- Observability and SRE practices
- Cloud-native design patterns for resilience and scalability
Feel free to reach out, I'm always open to interesting conversations or opportunities.