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Achievements

Achievement: Pair Extraordinairex3Achievement: QuickdrawAchievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor

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mikewild-wcl/README.md

Mike Wild

Senior / Lead .NET Engineer with 20+ years’ experience delivering large-scale, cloud-native systems in UK government and regulated private-sector environments. Specialist in Azure, ASP.NET Core, distributed microservices, CI/CD, and GDS delivery. Work experience in New Zealand, Taiwan, Saudi Arabia and the UK.

Currently expanding into generative AI, AI-enabled engineering with GitHub Copilot and Claude Code, and local-first cloud-native development with .NET Aspire.

  • 🖥 Senior / Lead software engineer specialising in .NET, Azure, and distributed systems
  • 🧠 Focused on enterprise GenAI: RAG, agent systems, and secure AI integration
  • 🏛 Extensive public-sector delivery experience (GDS, Defra, ESFA)
  • 💻 Core stack: ASP.NET Core, Azure serverless, SQL Server, Docker, CI/CD
  • 📊 Exploring data science, geospatial analysis, and AI workflows with Python and R
  • 🔧 Strong background in DevOps, testing, and production support

Skills and expertise

C%23 .NET Azure Git

Core Skills

  • .NET & C#: ASP.NET Core MVC, Razor Pages, web APIs and minimal APIs
  • Microsoft Azure: App Services, Functions, Service Bus, Storage, Key Vault, and Application Insights
  • Databases: SQL Server and Cosmos DB with EF Core and Dapper
  • Agile delivery: GDS (Government Digital Service) and Scrum

Generative AI & Intelligent Systems

  • GenAI: LLM orchestration, prompt engineering, vector databases, observability, and AI governance using Microsoft Agent Framework and Semantic Kernel
  • RAG & Graph RAG with Neo4j
  • Azure OpenAI, Ollama, Azure Foundry
  • Tool-calling, agent workflows, and Model Context Protocol (MCP)
  • AI-driven engineering: GitHub Copilot and Claude Code

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

Other Skills

  • CI/CD: builds and deployment with Azure DevOps YAML pipelines, Bicep, and ARM templates
  • Modern Development: Docker and Aspire for local-first cloud-native applications
  • Microsoft Fabric: Data ingestion, transformation, and Data Lake storage
  • Test-driven development (TDD) - xUnit and MS Test, with Moq, NSubstitute, SpecFlow and Selenium
  • Web: HTML, JavaScript, CSS
  • Data Science: Python, R, geospatial visualisation, analytics pipelines

🌟 Selected Projects

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

  • GraphRAG
    .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.

  • SQL Server 2025 Semantic Search
    .NET project exploring semantic search using SQL Server 2025 and Azure SQL vector features. Implements automated ingestion and embedding of arXiv documents using C# and Azure Functions, with local SQL in Docker and orchestration via Aspire.

  • DatabaseSampler
    Demo app for accessing SQL Server, PostgreSQL, Cosmos DB, and Redis from C#. Coming soon: full Aspire integration.

  • Wild 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 .NET contracts
  • Principal Engineer roles
  • GenAI integration projects
  • Consulting for Azure and regulated environments

If you’re building something interesting or need help modernising a .NET platform with AI, feel free to reach out.

Contact: Email | LinkedIn | Website

Last updated: January 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# 1

  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# 4 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