AI & Machine Learning
Autonomous agents, RAG pipelines, and tool-calling workflows in production.
AI Engineer · Web Developer · Data Analyst
Building intelligent digital systems
LLM-powered agents, production web apps, and operational analytics that actually move the needle.
Currently
Aurora — NHSCT analytics & ECM transformation
· Power BI suite + Access/SQL data layer · Northern Ireland
15+Years Experience
AI Agents& ML Models
NHSDigital Transformation
Full StackWeb Engineering
What I Do
Three disciplines, one practice
Web Engineering
TypeScript front-ends, Node APIs, and integrations that hold up under load.
Data Analytics
ETL, modelling, and dashboards leaders actually trust to act on.
Selected Work
Projects that shipped
Reduced reporting cycle from 5 days to under 4 hours
AI + Healthcare
Aurora — NHS Digital Transformation
Northern Ireland-specific, NHSCT-aligned analytics platform — operations, finance, workforce, compliance — built on Access/SQL data layers and Power BI.
Predictive AI assistive communication for non-verbal users
AI Accessibility
AI-Powered AAC App
Mobile + caregiver dashboard that combines on-device prediction, scene understanding, and real-time monitoring for non-verbal users.
Consolidated 6+ disconnected sources into a single live dashboard
Data Analytics
CRM Reporting — Industrial Temps
Data quality framework, ETL via Access + Power Query, and Power BI dashboards for placements, client performance, and consultant scorecards.
Real-time safety monitoring with NLP-driven virtual assistant
AI + Healthcare
AI-Enhanced Social Healthcare Management System
AI-driven platform: client management, NLP virtual assistant, predictive analytics, and real-time safety monitoring for social healthcare delivery.
Natural-language task automation across daily workflows
AI Engineering
AI Assistant
An LLM-powered productivity assistant — fine-tuned models, multiple interface integrations, and real-world automation.
In-development CRM consolidating sales, comms, and analytics
Web Engineering
Custom CRM Web Application
Custom CRM tailored to streamline business operations — sales management, customer communication, and analytics in a single PWA.
Hybrid SQL/NoSQL design with cloud-native storage
Cloud Computing
Cloud-Based Data Management System
Cloud-native database management system using SQL + NoSQL, designed for resilience and elastic scale.
OOP demonstration with full UI, video walkthrough, and source
Software Engineering
Java Ticket Machine
Java OOP showcase — inheritance, polymorphism, encapsulation — with a responsive UI and embedded demo video.
AI & Machine Learning
The systems I specialise in
Agents that act, retrieval grounded in real data, predictive models that survive production.
Autonomous AI Agents
Plan, call tools, recover from failure — wired into real workflows with guardrails and observability.
RAG Pipelines & Knowledge Systems
Smart chunking, hybrid search, and grounding so models answer from your data.
ML Models & Predictive Analytics
Forecasting, classification, and anomaly detection with proper evaluation pipelines.
Multi-Agent Orchestration
Specialised agents collaborating via function calling, message passing, and structured routing.
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++
About
Building from Northern Ireland
I'm Paul — an AI engineer, web developer and data analyst based in Northern Ireland. I ship LLM-powered tools, modern web platforms, and analytics that hold up to scrutiny.
Recent work includes NHS digital transformation (Power BI suites for operations and compliance) and AI accessibility tools like a predictive AAC app for non-verbal users.
Currently learning
Let's Talk
- M816 Data Management — Open University in progress
- Multi-Agent Systems with CrewAI experimenting
- Kubernetes for ML Workloads learning
- Vector databases & retrieval at scale learning
Credentials
Certifications & memberships
-
Google Cloud Professional ML Engineer
Google Cloud · 2025
-
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
Trajectory
A working career
Roles, study, and certifications grouped by era. Compact cards rather than a long stretch.
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
M816 Data Management
The Open University
Expected June 2026
Certification
Google Cloud Professional ML Engineer
Google Cloud
2025
Education
BSc (Hons) Computing — First-Class Honours
The Open University
20252016 — 2018
Role
CRM Systems Coordinator
Industrial Temps
2018 — 2019
Role
IT & Database Systems Manager
Platinum Support & Care Services Ltd
2016 — 2018Earlier
Education
EDI Level 3 Diploma in Business & Administration
2014
Role
Earlier roles
Various
Up to 2016Professional 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.
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.
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.