Production & Reliability · DevOps & Infrastructure · Data & Automation
Hands-on experience across production systems, infrastructure and data: Technical Operations, monitoring, release readiness, automation and implementation.
An AWS delivery lifecycle built around an existing open-source application: Terraform-provisioned EKS, OIDC-authenticated CI/CD, immutable image delivery, monitoring, and validated teardown.
A delivery pipeline built around real release gates: blocking Trivy scanning, non-root hardened workloads, and a Kubernetes NetworkPolicy that restricts database access to the application Pods.
Case study →A batch enrichment workflow for device data using OpenAI and Google model APIs, with abstention-focused prompting, structured outputs and programmatic validation.
Case study →Owning what's running in production: monitoring, incident response, root-cause work, and making sure a release is actually ready before it goes out.
AWS, Terraform, Docker and Kubernetes end to end, from provisioning through CI/CD to a working delivery pipeline. Built hands-on through the projects on this site.
SQL and Python across production databases and pipelines: automation, data-quality checks, validation and database migrations.
REST APIs, internal tooling and identity and access administration, plus the cross-functional work of taking a technical problem from ambiguous to resolved.
Linux
PostgreSQL
MongoDB
Redis
Snowflake
Python
Prefect
Metabase
Terraform
Docker
Kubernetes
GitHub Actions
Prometheus
Grafana
PostmanIf something here is relevant to what you're working on, I'm easy to reach.