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Case studies
Real builds. Client names protected. Results that aren't.
We keep client identities and confidential details out of public case studies — that's non-negotiable for the kind of clients we work with. What we can share is the problem, the engineering approach, and the measurable outcome. Three below.
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Selected work
Real delivery work with architecture and outcomes made clear.
Client names are withheld where needed for security and NDA reasons. Each story focuses on the business challenge, technical approach, platforms used and practical outcome.
AI Platform | Google Cloud
Enterprise AI agents needed access to production tools. Security needed to sleep at night.
Controlled AI-agent tool access with least-privilege scoping, mediated APIs and BigQuery audit logging.
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Compliance | Cloud Security
SOC 2 shouldn't be a two-week panic before the audit.
Continuous control visibility and repeatable remediation for SOC 2 readiness.
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Cloud Foundation | Multi-Cloud
Every new environment was a snowflake. We made them reproducible.
A repeatable cloud foundation that reduced drift and made governed environments faster to reproduce.
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Technology ecosystem
Implemented across leading enterprise platforms.
Platform selection is driven by the client environment, risk profile, team capability and long-term operating model.
AWS
EC2
EKS
S3
IAM
VPC
Security Hub
Google Cloud
GKE
Cloud SQL
BigQuery
Cloud Run
Cloud Armor
DevOps
Terraform
Docker
GitHub Actions
Azure DevOps
Kubernetes
Jenkins
AI Engineering
Azure OpenAI
Microsoft AI Foundry
MCP
RAG and vector search
Enterprise consultation
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