I build and operate cloud infrastructure, delivery pipelines, and production-grade systems — engineered for reliability, observability, and zero-downtime at scale.
I work as a DevOps Engineer focused on building and managing production environments across AWS, Azure, GCP, DigitalOcean, and Hetzner.
My core work spans containerized deployments, Kubernetes orchestration, Terraform-based provisioning, release automation, database operations, and full-stack observability.
I build systems that are easy to operate, easy to observe, and safe to release — with measurable improvements in delivery speed, provisioning time, and runtime stability.
Mental health platform — reliable cloud setup, secure releases, and strong operational visibility.
Hyperlocal social media platform — multi-cloud infra with dedicated real-time audio/video workloads.
Ticketing platform — concurrency safety, release reliability, and rollback confidence under high load.
Shared infra and ops work across multiple live products — database operations, scripts, release flows.
Improvement in deployment speed through better CI/CD workflows
Reduction in provisioning time with infrastructure automation
Faster issue detection through stronger observability coverage
Uptime maintained across all production environments
Monthly releases supported through streamlined pipelines
Live products supported across cloud and observability layers
I think beyond individual tools — delivery flow, failure paths, runtime behavior, and whether the system stays stable when traffic and complexity increase.
I care about release safety, visibility, rollback confidence, uptime, and the operational cost of running systems over time in production.
Repeatable operational work becomes pipelines, scripts, IaC, and reliable deployment patterns. If I do it twice, the third time is automated.
Open to DevOps, cloud infrastructure, platform engineering, and site reliability opportunities. Also open to technical collaborations around automation-heavy and cloud-native systems.