Michael Curran

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    London, UK

    Michael
    Curran

    AI Solutions Consultant

    Field service engineer moving into AI consultancy. I build production systems, deploy enterprise infrastructure, and ship AI products independently. Currently at Zenzero, building GrafterAI on the side.

    Open to opportunities
    At a glance
    Zenzero
    Current
    Field service engineer. Enterprise infrastructure, Copilot deployments, pre-sales scoping. Sprint Starter Award winner.
    Augustus Dons
    Founder
    Founded and run a football team. More in the Life tab.
    University of Liverpool
    BSc CS
    Computer Science with Software Development. Final year project: Digital Wellbeing App with TensorFlow.
    Life

    Outside
    of work

    Augustus Dons

    I started a football team called Augustus Dons. Got the group together, sorted kits, organised matches, and keep it running.

    Add the story here. When it started, how many players, your position, best memories.

    Liverpool

    Originally from Liverpool. University of Liverpool for four years studying computer science. The city shaped most of what I care about.

    London

    Based in London now. Still settling in.

    Where I have been

    A proper world map this time — drag to pan, scroll or pinch to zoom, and click a highlighted country for the story.

    Visited

    Countries in colour are ones I have actually been to — I will light up more as I travel.

    Right now

    Learning
    Claude Certified Architect, AB-730, AB-900.
    Building
    GrafterAI updates, this website, an enterprise RAG pipeline on Azure.
    Work

    Career

    May 2025 — Present
    Zenzero
    IT Field Service Engineer
    On-site and remote support across the UK and Ireland for Choice Care, Fundsmith LLP, Shaftesbury Capital, and Xeinadin Group. Leading Copilot projects, running pre-sales scoping, architecting networks across Ubiquiti, Cisco, and Meraki. Sprint Starter Award from the CEO within 10 months. 74% billable utilisation.
    M365Entra IDIntuneCopilotUbiquitiPre-Sales
    Nov 2024 — May 2025
    Waste Logics
    Customer Support
    Tier 1 technical support for a logistics SaaS platform. Jira, phone, SLA management, HubSpot CRM.
    JiraHubSpotSaaS
    Aug — Sep 2022
    activereach (now Babble)
    Technical Support Engineer Intern
    Support across Cisco, Mimecast, SonicWall. Worked with the CTO on Entra/Intune/Mimecast projects.
    CiscoMimecastSonicWall
    Sep 2020 — Jun 2024
    University of Liverpool
    BSc Computer Science with Software Development
    Final year project: Digital Wellbeing App with React, Node.js, TensorFlow, MongoDB. 65%.
    ReactNode.jsTensorFlow

    Certifications

    MS-900
    Microsoft 365
    AZ-900
    Azure
    UWA/UFSP
    Ubiquiti
    AI for Everyone
    Andrew Ng
    AB-730
    Azure
    AB-900
    Azure
    CCA-F
    Claude Architect
    Builds

    Projects

    GrafterAI
    Live
    Cross-platform app that automates UK tax tracking. Snap a receipt, Gemini and Claude extract the data. Real users.
    React, Capacitor, Supabase, Vercel, Gemini, Claude API
    Enterprise RAG Pipeline
    In progress
    Production RAG on Azure. Hybrid vector and semantic search, department-level security, MCP server layer.
    Azure AI Search, Claude API, FastAPI, Python, MCP
    Digital Wellbeing App
    University
    Final year project. TensorFlow behavioural pattern detection, React frontend, Node.js API, MongoDB.
    React, Node.js, TensorFlow, MongoDB
    michaelcurran.uk
    This site
    Two visual modes, password gate, daily crossword, interactive world map. No frameworks. Free hosting.
    HTML, CSS, JS, Cloudflare Workers
    Upcoming

    What I am building next

    Weekend projects designed to deepen my understanding of AI architecture and build real tools I can talk about in client conversations. Each one solves a genuine problem.

    AI Site Report Generator
    Weekend 1
    A field engineer finishes a site visit and speaks into their phone. The app transcribes, structures, and generates a formatted PDF report with photos, fault descriptions, and recommended next steps. Built for how engineers actually work, not how software people think they work.
    Whisper API, Claude API, PDF generation, React Native
    LEARNS: Audio transcription pipelines, structured output from unstructured speech, mobile-first AI
    MCP Server for ConnectWise
    Weekend 2
    A Model Context Protocol server that connects Claude to ConnectWise PSA. Ask Claude natural language questions about open tickets, billable hours, client history, and SLA status. The kind of integration MSPs would pay for.
    MCP Protocol, ConnectWise API, TypeScript, Claude Desktop
    LEARNS: MCP server architecture, API integration patterns, building tools Claude can use natively
    Contract Comparison Engine
    Weekend 3
    Upload two versions of a contract or proposal. The tool extracts key terms, highlights what changed between versions, flags risks, and generates a plain-English summary of what matters. Enterprise legal teams would use this daily.
    Claude API, PDF parsing, diff algorithms, document chunking
    LEARNS: Document processing at scale, long-context strategies, building trust-critical AI tools
    AI Cost Estimator for Enterprises
    Weekend 4
    A calculator that takes a business use case description, estimates token volumes, compares pricing across Claude, GPT, and Gemini, and generates a cost projection with ROI analysis. The tool I wish I had for every pre-sales conversation.
    Multi-model API pricing, React, data visualisation, prompt analysis
    LEARNS: Model economics, token estimation, building tools for the sales process itself
    Prompt Engineering Workbench
    Weekend 5
    Test the same input against different prompts, models, and temperatures side by side. Save prompt libraries, track which versions perform best, export results. A tool for people who write prompts professionally, not casually.
    Claude API, GPT API, Gemini API, comparison UI, prompt versioning
    LEARNS: Multi-model evaluation, prompt optimisation patterns, building internal tooling
    RAG Pipeline Visualiser
    Weekend 6
    Upload documents, watch them get chunked, embedded, and indexed in real time. Then query them and see exactly which chunks were retrieved, their relevance scores, and how the final answer was assembled. Makes the invisible visible.
    Azure AI Search, vector embeddings, D3.js visualisation, Claude API
    LEARNS: RAG internals end-to-end, embedding models, retrieval debugging, client-facing explainability
    Say hello

    Get in
    touch

    What I am looking for

    AI solutions consultant or technical pre-sales roles. Somewhere that needs someone who can talk to a client in the morning and ship code in the afternoon.