Cloud computing
A systems view of reliability, security, cost, and developer experience rather than isolated infrastructure tasks.
Focus 03 · Cloud engineering
Make cloud workas an operating model.
I treat cloud as a system where reliability, security, cost, and developer experience have to work together.
01 / What I bring
Cloud decisions have operating consequences.
Cloud engineering is more than provisioning resources. It is the work of making a large, changing environment understandable and sustainable for the people who operate it.
500+ AWS accountsExperience working at meaningful cloud scale.
Thousands of serversPractical infrastructure experience across complex environments.
Cost and reliabilitySaved millions in cloud spending while keeping services operational through critical events.
02 / Working model
Connect the controls to the work.
The goal is not a pile of policies. It is an operating model teams can understand and use.
01
Map the environment
02
Surface the constraints
03
Balance cost and reliability
04
Keep operations visible
03 / Selected work
Scale with judgment.
The broader portfolio connects cloud practice to platforms, identity and access, infrastructure, and organizational controls.
Systems architecture
Make tradeoffs visible, keep change affordable, and design systems teams can operate and evolve.
Mind’s Eye
Local-first system design with provenance, auditable context, and a rebuildable data model.
04 / Production evidence
Cloud work with consequences.
The cloud lens is grounded in systems that had to support ownership, migration, security operations, and cost-aware reliability.
CloudCage
Led a team of engineers building an AWS Organizations metadata system that made account ownership and fragmented cloud information usable across operations, finance, and security.
Cloud Cost Governance
Drove roughly $5M in annual cloud savings by identifying orphaned, underutilized, and oversized resources and driving accountable remediation across the AWS environment.
AMI Migration
Moved thousands of non-standard AMIs into a security-scanning workflow for SecOps, with several components developed using AI assistance. The work saved tens of thousands of dollars in scanner licensing and server costs.
Vulnerability Management Services
Supported a high-volume CVE workflow with AMI remediation, scripted health validation, closure checks, and account-specific reporting.
AWS Security Incident Response
Led a 12-person engineering team through an AWS security incident response, coordinating with SecOps and senior leadership to contain the incident, investigate affected access, and harden the organization.