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MatthewPaver/README.md

Matthew Paver — automation, data, and AI projects.

Prepare a board review with Project Evidence Desk Inspect the project catalogue Connect on LinkedIn

Pages deploy status Last commit

Featured products

MeetingProof evidence-linked meeting follow-up

MeetingProof · live

Turn meeting notes into evidence-linked decisions, actions and questions, then review and approve the follow-up yourself.

JavaScript LangGraph LangSmith Pydantic GitHub Pages

Use the tool ↗ · Tutorial ↗ · Repo ↗

 Happening venue ingestion dashboard

Happening · private

Venue pages turned into structured event data, with source configs, scheduled runs, and a 167-test reliability suite.

Python Playwright SQLite Pydantic GitHub Actions

Preview ↗ · Case study ↗

 QuickSupply cover operations dashboard

QuickSupply · private MVP

A school cover-ops workflow built for three sides: school, agency, teacher. Sequential assignment, compliance checks, live status.

Next.js TypeScript PostgreSQL Drizzle SSE

Preview ↗

At a glance
Role Software engineer and automation specialist
Based London
Focus Automation, data products, AI workflows, analytics tools
Shipping Project Evidence Desk · MeetingProof · ProjectLens · DecisionGraph · Quick Draft Utilities
Stack Python · TypeScript · FastAPI · Next.js · Postgres / DuckDB · Playwright · GitHub Actions
Specs Constitution · Feature spec · Validator · Lighthouse CI

Build pattern

flowchart LR
    A[Messy public data] --> B[Configured ingestion]
    B --> C[Validation & dedupe]
    C --> D[Spec-driven catalogue]
    D --> E[Inspectable product]
    E --> F[Deploy gate · validator + Lighthouse CI]
    F -.->|fail| B
    F -->|pass| G[Shipped]
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The pattern is practical: collect the messy input, clean it, check it, and turn it into something a person can use. Project Evidence Desk applies that pattern to the evidence before, during and after a project-board decision; the project catalogue exposes the engineering underneath. Smaller weekly-update, handover and comparison tools remain available as Quick Draft Utilities.

Open these next

▸ Runnable applications

  • MeetingProof — Browser-local meeting follow-up, exact source lines, LangGraph human approval, synthetic evaluation fixtures
  • Marketing ML Lakehouse — Bronze/silver/gold DuckDB flow, XGBoost training, data-quality checks, Streamlit dashboard
    Last commit Top language
  • ProjectLens — Browser-local board readiness: reconcile five evidence groups, expose source-linked findings, record human authority and follow approval conditions
    Last commit Top language
  • DecisionGraph — Comparable project cases with inspectable retrieval, problem-to-outcome evidence chains and human review Repo standard: run command, tests or checks, demo/sample data where possible, screenshots, architecture notes, and limitations.

▸ Analytics handoff

  • HR Performance Analytics — Power BI dashboard package: PBIX files, dashboard previews, methodology PDF, stakeholder commentary
    Last commit Repo size

▸ Notebook demos and technical examples

Credentials

AWS Cloud Practitioner AWS AI Practitioner Neo4j Certified Professional Hugging Face AI Agents UiPath RPA Developer BCS Diploma in IT Open CV PDF

Latest public activity (auto-updated daily)

Latest Public Activity (Auto-Updated)

This section is automatically refreshed by GitHub Actions.

  • Last refresh (UTC): 2026-07-21 09:41
Repo Last push What it is
newco-assurance 2026-07-20 Production-readiness assurance for AI-built project workflows
MatthewPaver 2026-07-20 Portfolio: AI products, data systems, ML, and analytics — every project has a preview,…
ProjectLens 2026-07-20 Evidence-bound project change assurance: check the pack, record the human decision, tra…
DecisionGraph 2026-07-20 Evidence-linked project decision memory and comparable-case retrieval demo
MeetingProof 2026-07-20 Evidence-linked meeting follow-up with LangGraph human approval and LangSmith-ready eva…
MatthewPaver.github.io 2026-07-15 Live apps, open-source tools and private product pilots by Matthew Paver

Built and maintained by Matthew Paver — github.com/MatthewPaver

Pinned Loading

  1. marketing-ml-lakehouse marketing-ml-lakehouse Public

    Local DuckDB, XGBoost, and Streamlit analytics pipeline for marketing performance data.

    Python

  2. ProjectLens ProjectLens Public

    Evidence-bound project change assurance: check the pack, record the human decision, track the conditions.

    Python 1

  3. pyspark-kafka-streaming pyspark-kafka-streaming Public

    Compact PySpark and Kafka technical examples covering DataFrames, Structured Streaming, and JSON event production.

    Makefile 1

  4. sentence-similarity-analysis sentence-similarity-analysis Public

    Sentence-transformer notebook showing embedding similarity, cosine ranking, and retrieval caveats.

    Jupyter Notebook