DevOps Engineer | Cloud | Kubernetes | Automation | GenAI
I design and automate reliable delivery pipelines and cloud platforms — turning complex infrastructure into repeatable, self-service systems.
01 — About
DevOps and Release Engineering professional focused on building resilient, automated delivery platforms. I work across AWS, Kubernetes and OpenShift, wire up CI/CD with Jenkins, codify infrastructure with Terraform and Ansible, and increasingly bring Generative AI and RAG into engineering workflows.
I care about making infrastructure boring in the best way — predictable, observable and self-service — so teams can ship with confidence. Whether it's wiring a Jenkins pipeline, codifying a cluster with Terraform, or grounding an LLM in internal docs with a RAG pipeline, my goal is the same: reduce toil and increase reliability.
Outside of client work, I share what I learn through DevOps labs, YouTube walkthroughs and technical articles.
02 — Skills
The tools and practices I reach for across the delivery lifecycle — from provisioning infrastructure to shipping and operating it.
03 — Work
Hands-on DevOps builds and labs — each designed to be practical, reproducible and production-minded.
An automated review pipeline that triggers builds, tests and quality gates on every pull request, posting status checks and enforcing merge policies through Jenkins and the GitHub API.
A collection of production-style Ansible playbooks and roles for provisioning, hardening and configuring Linux fleets — idempotent, tagged and driven by reusable inventories.
Hands-on labs covering cluster deployment, Helm packaging, Operators, autoscaling and network policies across both vanilla Kubernetes and Red Hat OpenShift.
End-to-end AWS delivery platforms combining Terraform-provisioned infrastructure, containerized workloads and automated deployment pipelines with monitoring baked in.
Retrieval-Augmented Generation systems that ground LLM responses in private knowledge bases — document ingestion, embeddings, vector search and evaluation, wrapped in an API.
04 — YouTube
Walkthroughs and deep dives on DevOps, cloud and automation.
18:24Deploying, scaling and troubleshooting workloads on Kubernetes and OpenShift.
22:10Pipeline-as-code, PR automation and quality gates end to end.
25:47Provisioning reproducible AWS environments the right way.
19:33How Retrieval-Augmented Generation works and where it fits in DevOps.
05 — Writing
Notes and practical guides on the patterns I use in production.
06 — Credentials
Industry certifications validating hands-on expertise across cloud, containers and automation.
Amazon Web Services · 2024
CNCF · 2023
Red Hat · 2023
HashiCorp · 2023
Amazon Web Services · 2022
Docker · 2022
07 — Contact
Open to DevOps, platform engineering and GenAI opportunities, as well as collaborations on labs and content. The fastest way to reach me is email or LinkedIn.