Landing zones, networking, governance
Designing Azure foundations that scale across teams: identity boundaries, policy/guardrails, and repeatable platform patterns.
Featured projects, articles, and practical insights from real-world platform engineering and DevOps work.
Designing Azure foundations that scale across teams: identity boundaries, policy/guardrails, and repeatable platform patterns.
Building reliable pipelines and environments with Terraform/Bicep, templated workflows, and safe rollout strategies.
Designing for operability from day one: monitoring, runbooks, cost signals, and failure-mode thinking.
Leading an enterprise Azure platform and DevOps transformation, defining cloud foundations, automation standards, and operating models for multiple engineering teams.
Design and deliver a secure, cloud-based research platform to support multi-institutional biomedical studies, enabling large-scale data ingestion, AI-assisted analysis, and controlled collaboration across research organizations.
Modernize and stabilize the cloud infrastructure of a Kubernetes-based digital service platform used to onboard and operate third-party applications, while improving reliability, scalability, and cost efficiency.
Refining landing zone patterns and reusable templates for multi-team delivery.
Templated CI/CD and IaC modules to reduce drift and improve rollout safety.
Baseline observability, SLOs, and incident guardrails tied to cost/traffic patterns.
Security, compliance, budget, timelines, team skills, and operating model - then design within reality.
Architectures with clear failure modes, sane blast radius, and measurable reliability goals.
IaC + pipeline templates + environment promotion to reduce drift, manual steps, and deployment anxiety.
Use observability and cost/traffic signals to validate decisions and improve continuously.
A perspective on treating cloud platforms as continuous systems - where architecture, delivery pipelines, and operations are inseparable parts of real-world design.
A practical view on why platform success depends less on technology and more on how engineering teams actually experience and use it.
A perspective on DevOps as a system of feedback loops, not a collection of tools, and why real transformation starts with ownership and operability.
The fastest path is a short call with scope, constraints, and a target outcome. I can also share examples of templated CI/CD and platform guardrails.