Technologies

C#, .NET Core, TypeScript, JavaScript, Python, SQL, KQL, and PowerShell

Each language chosen for specific runtime characteristics rather than brand loyalty.

Azure, Azure Kubernetes Service, Functions, Logic Apps, Data Factory, Service Fabric, Cloud Services, and Terraform

The durable skill is cloud-native thinking: resource governance, cost modeling, network topology, and identity. These patterns transfer regardless of the console.

Kubernetes (AKS), Docker, and KEDA

The orchestration patterns of scheduling, service discovery, rolling updates, and autoscaling are consistent across environments. Autoscaling is proactive, not reactive: demand-driven capacity planning and queue-based scaling (KEDA) add capacity ahead of load, so throughput follows the work instead of catching up to it.

Event-driven architecture, CQRS, Orleans actor framework, SignalR, and Service Bus (message brokers)

Architectural patterns that decouple services, separate read and write concerns, manage distributed state, and enable real-time communication.

Azure SQL, MongoDB Atlas, Redis, QDrant, and ETL/ELT pipelines

The durable skill is modeling data for the access pattern. Connection strings are documentation, not architecture.

REST, gRPC, SignalR, and OAuth2

The pattern determines scalability, not the protocol. Secure API design protects every integration point.

React, TypeScript, and JavaScript

The durable skill is component architecture: state management, rendering strategy, bundle budgets, and accessibility. The framework is an implementation detail.

Claude Code, Ollama, RAG inference pipelines, Embedding pipelines, Vector databases, LLM optimization, and Azure AI Foundry

AI-assisted workflows act as a force multiplier, not just an accelerator. They compress low-value toil, widen the surface area a single engineer can validate and deliver, and redirect judgment toward the work that compounds — architecture, tradeoffs, and product insight. RAG pipelines keep that leverage honest, grounding outputs in verified domain data so speed never outruns correctness.

TDD, xUnit, TestContainers, and Automated CI validation

Systematic testing prevents regressions before they reach production and guides design decisions at every layer.