Cloud architecture and infrastructure design
Definition: Designing cloud environments that account for security boundaries, networking topology, identity, cost, and operational reality — not reference architectures copied from vendor documentation.
Where I contribute: Landing zone design, multi-account structure, networking topology, identity and access management, cost modelling, and governance guardrails with decisions documented through architecture artefacts.
AzureAWSTerraformBicepCloudFormationHub-spoke networkingLeast-privilege models
Evidence note: Shown in selected work and case studies with public-safe architecture views.
Solution architecture
Definition: Translating requirements, constraints, and organisational context into a technical direction engineering teams can build against.
Where I contribute: High-level and low-level design, integration views, NFR specification, option assessment, trade-off documentation, and architecture decision records while staying connected to implementation realities.
HLD / LLDADRsIntegration viewsWell-Architected principlesCompliance-aware design
Evidence note: Case studies show decision boundaries, scope notes, and architecture rationale.
DevOps and delivery systems
Definition: The pipeline, tooling, and operational patterns that connect architecture decisions to running infrastructure.
Where I contribute: CI/CD design, IaC module development, Git-based workflow controls, environment promotion paths, deployment automation, and operational monitoring setup.
GitHub ActionsAzure DevOpsTerraformBicepDockerKubernetes / AKSHelm
Evidence note: Public repositories and release pipeline patterns are referenced in project evidence.
Data and AI integration patterns
Definition: Applied AI patterns integrated into platform architecture — retrieval-augmented generation, governed assistants, and infrastructure-aligned AI workloads.
Where I contribute: RAG architecture, embedding and retrieval flow shaping, platform integration, and controlled experimentation with explicit evidence boundaries.
Azure OpenAIAWS BedrockpgvectorLangChainEmbedding pipelinesInference services
Evidence note: Public evidence is represented through the governed AI case study and linked sanitised artifacts.
Governance, controls, and operational design
Definition: Policies, guardrails, monitoring, and operating structures that keep cloud infrastructure maintainable after initial delivery.
Where I contribute: Governance guardrail design, security-control alignment, monitoring and alerting setup, runbooks, and structured incident-oriented operating guidance.
Azure MonitorLog AnalyticsApplication InsightsCloudWatchPrometheusGrafanaRBAC
Evidence note: Control patterns are described conservatively with explicit non-claims where evidence is limited.
Technical communication and delivery artefacts
Definition: Architecture value depends on communication quality — technical decisions must be usable by teams and stakeholders after delivery.
Where I contribute: Producing decision records, option papers, technical designs, operating notes, and stakeholder-ready summaries that support execution and handover.
ADRsTechnical design packsRunbooksRisk registersDecision briefs
Evidence note: Case-study and project pages link to representative artefact-style outputs and references.