Paul Martin McNeill / Island of Ireland

Human problems.
Engineered answers.

AI engineering, web development & data analytics.

I connect data, software and AI to build tools for care, communication and everyday work. Take a look inside.

  • 15+ yearsacross IT, data and engineering
  • Master’s in Artificial IntelligenceQueen’s University Belfast
  • First-Class BSc (Hons)Computing, The Open University

Inside the system

Care data, connected.

Follow a care record from source tables to an operational dashboard.

Step 1 of 3

Source records

Client records, visits, runs and rotas, workforce and finance data form the source layer. Aurora uses a synthetic dataset to demonstrate a Northern Ireland care model.

Aurora Power BI operations dashboard Aurora Domiciliary Care Explore the case study
Interactive architecture walkthroughSelect a stage to inspect it

A few things I’ve built.

Care systems, communication tools and the data behind them.

What I Do

Three disciplines, one practice

AI & Machine Learning

Autonomous agents, RAG pipelines, and tool-calling workflows in production.

  • LangChain
  • GPT/Claude
  • RAG
  • TensorFlow
  • Agents
  • MCP

Web Engineering

TypeScript front-ends, Node APIs, and integrations that hold up under load.

  • React
  • Next.js
  • Node.js
  • TypeScript
  • APIs
  • PWAs

Data Analytics

ETL, modelling, and dashboards leaders actually trust to act on.

  • Power BI
  • Python
  • SQL
  • Pandas
  • ETL
  • Dashboards
AI & Machine Learning

The systems I specialise in

Agents that act, retrieval grounded in real data, predictive models that survive production.

01

Autonomous AI Agents

Plan, call tools, recover from failure — wired into real workflows with guardrails and observability.

  • LangChain
  • OpenAI
  • Claude
  • Tool Use
  • MCP
02

RAG Pipelines & Knowledge Systems

Smart chunking, hybrid search, and grounding so models answer from your data.

  • Vector DBs
  • Embeddings
  • Chunking
  • Semantic Search
03

ML Models & Predictive Analytics

Forecasting, classification, and anomaly detection with proper evaluation pipelines.

  • Scikit-learn
  • TensorFlow
  • XGBoost
  • MLflow
04

Multi-Agent Orchestration

Specialised agents collaborating via function calling, message passing, and structured routing.

  • CrewAI
  • AutoGen
  • Workflows
  • Function Calling
Stack

What I'm fluent in

Daily driver

Tools I reach for first.

  • Python
  • TypeScript
  • React
  • Node.js
  • Power BI
  • Pandas
  • Git
  • OpenAI API
  • Claude API
Strong working knowledge

Comfortable shipping in production.

  • TensorFlow
  • Scikit-learn
  • LangChain
  • Next.js
  • PostgreSQL
  • Firebase
  • Docker
  • Azure
  • AWS
  • DAX / Power Query
Familiar

Used in projects, not my first pick.

  • PyTorch
  • Hugging Face
  • MLflow
  • Kubernetes
  • GCP / Vertex AI
  • Jupyter
  • Java
  • C++
Paul Martin McNeill
About

Building from the island of Ireland

I’m Paul, an AI engineer, web developer and data analyst based on the island of Ireland. I build LLM-powered tools, web platforms and analytics for healthcare, accessibility and day-to-day operations.

My recent work includes NHSCT-aligned digital transformation, with Power BI reporting for care operations and compliance, and AI accessibility tools such as a predictive AAC app for non-verbal users.

I hold a master’s in Artificial Intelligence from Queen’s University Belfast and a First-Class BSc (Hons) in Computing from The Open University. I’ve also completed the Open University’s postgraduate M816 Data Management module.

Currently learning
  • Multi-Agent Systems with CrewAI experimenting
  • Kubernetes for ML Workloads learning
  • Vector databases & retrieval at scale learning
Let's Talk
Credentials

Certifications & memberships

  • Google Cloud Professional ML Engineer

    Google Cloud Professional ML Engineer

    Google Cloud · 2025

  • AWS Certified Machine Learning — Specialty

    AWS Certified Machine Learning — Specialty

    Amazon Web Services

  • TensorFlow Developer

    TensorFlow Developer

    DeepLearning.AI / Coursera

  • PCPP1 — Certified Professional in Python

    PCPP1 — Certified Professional in Python

    Python Institute

  • MBCS — Member of the BCS

    MBCS — Member of the BCS

    British Computer Society

  • IET Member

    IET Member

    Institution of Engineering & Technology

Trajectory

A working career

Explore my roles, completed studies and professional certifications.

2024 — Present

Volunteer

Digital Volunteer / Technology Advisor

RSPB Rathlin Island Project

2024 — Present
Role

Creative Director / Technical Lead

Paramount Perceptions (Self-Employed)

2019 — Present
Education

Master’s in Artificial Intelligence

Queen’s University Belfast

Completed
Education

M816 Data Management

The Open University

Completed
Certification

Google Cloud Professional ML Engineer

Google Cloud

2025
Education

BSc (Hons) Computing — First-Class Honours

The Open University

2025

2016 — 2018

Role

CRM Systems Coordinator

Industrial Temps

2018 — 2019
Role

IT & Database Systems Manager

Platinum Support & Care Services Ltd

2016 — 2018

Earlier

Education

EDI Level 3 Diploma in Business & Administration

2014
Role

Earlier roles

Various

Up to 2016

Professional memberships & certifications

AWS Certified Machine Learning — Specialty Amazon Web Services
TensorFlow Developer DeepLearning.AI / Coursera
PCPP1 — Certified Professional in Python Python Institute
MBCS — Member of the BCS British Computer Society
IET Member Institution of Engineering & Technology
What People Say

Words from collaborators

Paul took our domiciliary care reporting from scattered Excel files and manual processes to a fully automated Power BI suite. What used to take the team days now takes minutes. He understood the clinical context, not just the data — that's rare.
Dr. Claire HendronService Manager, Domiciliary CareNorthern Health & Social Care Trust
We needed someone who could handle the full picture — data modelling, ETL pipelines, DAX, and the front-end dashboards — and explain it all to non-technical stakeholders. Paul delivered on every front.
Gareth MurrayHead of Digital ServicesNHSCT
The AAC app Paul built changed how we think about assistive technology. The AI prediction engine was fast, accurate, and most importantly, the families found it intuitive. That last part is the hardest to get right.
Dr. Aisling O'KaneSpeech & Language TherapistHSC Northern Ireland
Get in touch

Have something worth building?

Currently open to AI engineering, ML, and full-stack web opportunities — full-time, contract, or freelance. Tell me about the role or project, what you need built and your timeline.