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mikewild-wcl/README.md

Mike Wild

Senior / Lead .NET Engineer specialising in C#, ASP.NET Core, Azure, event-driven architecture and Aspire. 20+ years' experience delivering secure, scalable systems across UK government and regulated private-sector environments, including eight years of hands-on Azure experience.

Current focus includes generative AI, AI-enabled engineering with GitHub Copilot, Claude Code, OpenAI Codex, and local-first cloud-native development with Aspire.

  • 🖥 Senior / Lead software engineer specialising in .NET, Azure, and distributed systems
  • 💻 Core stack: ASP.NET Core, Azure cloud services, SQL Server, Docker, CI/CD
  • ☁️ Building cloud-native and event-driven platforms with Azure and Aspire
  • 🏛 Extensive public-sector experience with GDS delivery for Defra and DfE/ESFA
  • 🔧 Strong background in technical leadership, CI/CD, testing and production support
  • 🧠 Applying enterprise GenAI patterns to existing .NET and Azure platforms

Core Skills

C%23 .NET Azure Git

  • .NET & C#: .NET 10, ASP.NET Core, Blazor, web APIs, minimal APIs and Worker Services
  • Microsoft Azure: App Services, Functions, Container Apps, Service Bus, Storage Queues, Storage, Key Vault, Managed Identity and Application Insights
  • Aspire: local-first development, rapid developer onboarding, service orchestration, resource emulation and integration testing
  • Architecture: distributed systems, event-driven processing, typed messaging contracts and resilient cloud services
  • Data: SQL Server, Azure SQL and Cosmos DB with EF Core and Dapper
  • Delivery: Azure DevOps YAML pipelines, Bicep, ARM templates, Docker and KEDA
  • Resilience & observability: Polly, OpenTelemetry, structured error handling, retry strategies and production diagnostics
  • Testing: xUnit, Moq, NSubstitute, Playwright and Selenium
  • Leadership: technical mentoring, stakeholder engagement, code quality and delivery ownership
  • Agile delivery: Government Digital Service standards and Scrum

Complementary skills

  • Data & analytics: Microsoft Fabric, data ingestion and transformation, Data Lake storage, Python, R, geospatial visualisation and analytics pipelines.

Generative AI & Intelligent Systems

  • Microsoft Agent Framework, Semantic Kernel, Azure OpenAI, Azure Foundry and Ollama
  • Retrieval Augmented Generation, GraphRAG with Neo4j, vector search and embeddings
  • Tool calling, agent workflows and Model Context Protocol
  • Secure integration, observability and governance for AI-enabled enterprise systems
  • AI-assisted engineering with GitHub Copilot, Claude Code and OpenAI Codex

Cloud Platforms

  • Azure: Azure OpenAI, App Services, Functions, Service Bus, Cosmos DB, Storage, Key Vault, APIM, Application Insights, Bicep
  • AWS (working knowledge): EC2, RDS, S3, Lambda and Bedrock concepts

🌟 Selected Projects

  • AI Experiments
    Applied GenAI prototypes covering secure RAG, tool calling, document ingestion, vector search and MCP using Azure OpenAI, AWS Bedrock, Ollama, Semantic Kernel, Agent Framework and Neo4j.

  • SQL Server 2025 Semantic Search
    A .NET project exploring semantic search with SQL Server 2025 and Azure SQL vector capabilities, using C#, Azure Functions, Docker and Aspire to orchestrate document ingestion, embedding and search services.

  • GraphRAG
    A .NET reference project demonstrating GraphRAG using Microsoft Agent Framework and Neo4j, with a Blazor front end orchestrated via Aspire. Implements automated PDF ingestion and agent-driven query workflows. Supports Azure Foundry and local Ollama models.

  • DatabaseSampler
    A C# reference application demonstrating access to SQL Server, PostgreSQL, Cosmos DB and Redis. Orchestrated with Aspire for local-first cloud development.

  • Wild Consulting
    My consulting company website, built with ASP.NET Core Razor Pages. CI/CD via Azure DevOps pipeline with automated build and FTP deployment.
    Live site: https://wildconsulting.co.uk

🤝 Open to Collaboration

I’m open to:

  • Senior, Lead and Principal .NET engineering contracts
  • Azure cloud architecture and modernisation
  • Cloud-native .NET development with Aspire
  • Enterprise GenAI integration with existing .NET and Azure platforms
  • Consulting for Azure and regulated environments

If you’re modernising or building a cloud-native .NET application with Azure and Aspire, feel free to reach out.


Contact: Email | LinkedIn | Website

Last updated: August 2026

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  1. ai-experiments ai-experiments Public

    GenAI prototypes for Microsoft Agent Framework and Semantic Kernel: chat completions, tool calling, document ingestion, vector search, MCP, Azure Open AI, GitHub Models, Ollama and AWS Bedrock

    C# 3

  2. ai-rag-console ai-rag-console Public

    A console project using Azure Open AI and Semantic Kernel to ingest documents and use them for RAG queries. Will include a custom SQL connector for vector data.

    C#

  3. ai-agentic-graph-rag ai-agentic-graph-rag Public

    A space for learning GraphRAG with Microsoft Agent Framework and Neo4j, with a Blazor front end orchestrated by Aspire. Downloads, splits and ingests PDF data into Neo4j, and queries it using an ag…

    C# 6 1

  4. DatabaseSampler DatabaseSampler Public

    Demo app for learning how to access SQL Server, PostgreSQL, Cosmos DB and Redis from C#. *Coming soon!* Aspire integration.

    C# 2

  5. wild-consulting-web wild-consulting-web Public

    Company web site written using .NET core ASP.NET Razor pages. CI/CD via Azure DevOps pipeline that builds and deploys with FTP.

    HTML

  6. sql-semanticsearch sql-semanticsearch Public

    Use SQL Server 2025 and Azure SQL vector capabilities to ingest and embed documents from arXiv. C# application using Azure functions and local databases in Docker, orchestrated by Aspire.

    C# 1