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I am a Senior Site Reliability Engineer moving deeper into MLOps, with a focus on resilient infrastructure, automation, observability, and cloud-native operations. This profile uses a Mars palette instead of a moon palette because it gives stronger contrast, reads better on GitHub, and still keeps the space aesthetic without feeling washed out.
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| Area | What I bring |
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| Current role | Senior Site Reliability Engineer |
| Growth track | Transitioning into MLOps and production ML platforms |
| Core strengths | System monitoring, disaster recovery, automation, platform reliability |
| Cloud background | AWS, Azure, Google Cloud |
| Delivery style | Infrastructure as code, measurable operations, scalable systems |
| Long-term focus | Build ML systems that are observable, reproducible, and reliable in production |
- Built and improved observability platforms using Prometheus, Grafana, and modern telemetry practices.
- Automated infrastructure and recovery workflows to reduce operational risk and increase repeatability.
- Improved system throughput and platform scalability through performance tuning and orchestration work.
- Led cloud-native reliability efforts with Kubernetes, Terraform, CI/CD pipelines, and GitHub Actions.
- Applied DevOps discipline to create the foundation for scalable MLOps workflows.
| Cloud and Platform | Observability and Delivery |
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- Designing dependable infrastructure that supports modern ML workloads.
- Turning SRE discipline into production-grade MLOps practices.
- Building systems that are observable by default and recoverable under pressure.
If you are working on cloud infrastructure, platform engineering, observability, or MLOps, feel free to reach out.
