Engineering Case Studies
A curated portfolio of cloud foundations, migration, AI infrastructure, MLOps, platform engineering, and DevOps architecture across Azure, AWS, and Google Cloud.
Featured Architecture Work
Cloud foundations, governed platforms, migration, AI infrastructure, MLOps, and delivery architecture.
What it demonstrates
A decision-ready enterprise foundation pattern that makes governance, connectivity, security, management, automation, and workload isolation explicit before implementation begins.
What it demonstrates
A scalable AWS landing-zone model that reduces blast radius, strengthens separation of duties, and gives platform and security teams a governed path for onboarding accounts and workloads.
What it demonstrates
An enterprise-ready Google Cloud foundation pattern that makes governance, shared networking, security controls, private connectivity, and platform automation consistent across workload projects.
Outcome
A governed RAG foundation that separates backend, AI, data, and operations responsibilities and supports a controlled path from proof of concept to production.
Outcome
A reusable architecture for multi-agent applications that keeps data, retrieval, models, and specialist workflows understandable, governable, and independently evolvable.
Outcome
A migration design that exposes hidden dependencies early and supports phased execution, technical validation, rollback planning, and clearer stakeholder communication.
Outcome
A governed MLOps framework that helps teams inspect model quality and platform behaviour before promotion and supports more deliberate release decisions.
Outcome
A repeatable delivery path with clearer separation of duties, security checks, approval points, and environment-specific deployment controls.
Outcome
A clear platform blueprint that improves service isolation, operational visibility, and deployment consistency while keeping AI services inside the wider application security model.
Outcome
A controlled and auditable promotion process that brings software-delivery discipline to Microsoft Fabric workspace operations.
Additional Architecture Work
Focused implementation patterns that complement the featured case studies.
Outcome
A resilient support architecture that separates external traffic, asynchronous processing, AI orchestration, data, escalation, and observability concerns.
Outcome
A straightforward infrastructure-as-code pattern that supports repeatable environments, modular automation, and a clear path from provisioning to application delivery.
Outcome
A clear network and service layout that centralizes ingress and certificates, separates workload roles, and provides managed paths for data, packages, and secrets.