This portfolio showcases how I design and build intelligent digital systems — from data-driven dashboards and machine learning models to accessible, human-centred web applications. Each project reflects a focus on clarity, ethics, and innovation in technology.
Scroll down to explore my latest work and the ideas that drive it.
Python, JavaScript, Java, C++, SQL
HTML, CSS, React, Svelte, Node.js, Bootstrap, REST APIs
TensorFlow, Keras, Scikit-learn, NLP, Predictive Modelling
Power BI, Excel, Pandas, NumPy, Matplotlib, Looker Studio
MySQL, PostgreSQL, MongoDB, Firebase, Data Modelling
Microsoft Dynamics 365, Power Apps, SharePoint, Power Automate
Google Cloud (Vertex AI), AWS, Azure, Firebase Hosting
Docker, Kubernetes, Jenkins, GitHub Actions, CI/CD
Network Security, Encryption, DPI Analysis, Ethical Hacking Basics
Data quality, KPI dashboards, and recruitment funnel analytics
Assistive communication with predictive AI & caregiver insights
Northern Ireland locality model | ECM realism | Power BI transformation suite
Developing machine learning models using Python, TensorFlow, and Scikit-learn to analyse data and make predictions.
Building deep neural networks for tasks like image recognition and natural language processing using PyTorch and Keras.
Processing and analysing large datasets using tools like Pandas and NumPy to extract valuable insights.
Transforming Social Healthcare with AI
AI/ML Project
Key tools and technologies I use for Artificial Intelligence development.
Power BI, dashboards, KPIs, and interactive reports for data-driven decisions.
Microsoft Dynamics 365, Power Apps, and process automation with Power Automate.
Data integration, cleansing, and automation using SQL Server, Power Query, and Python.
Excel (PivotTables, Power Pivot), SharePoint, Teams, and governance solutions.
A sample of analytics work across reporting, CRM, and automation.
Full analytics stack for NI domiciliary care: Access data layer, Power BI dashboards, ECM realism, remittance, and RQIA compliance.
Tools: Access • Power BI • Power Query • Excel • DAX • RLS
Enhanced recruitment CRM data quality, Access/Excel queries, and KPI dashboards.
Tools: CRM • Access • Excel • Power Pivot • Data audits
Predictive AI (TensorFlow.js) + Firebase analytics dashboard. WCAG 2.1 AA & GDPR-first.
Tools: TensorFlow.js • Firebase • React/React Native • WCAG
Key tools and technologies I use for building data-driven solutions.
Using HTML, CSS, JavaScript, React, and Angular to build responsive and user-friendly websites.
Developing robust server-side applications with Node.js, Python, and PHP.
Building websites that work on all devices, from desktops to smartphones.
Website for a creative agency with a clean and functional design.
A user-friendly website for a care service provider.
A vibrant website for a beauty salon.
A responsive website for a staffing agency.
A high-impact website for a digital printing company.
Discover Rathlin Island through an immersive 360° virtual tour, interactive maps, community news, and real-time events. This innovative platform blends panoramic visuals with digital storytelling to serve visitors and locals alike.
Tools and technologies I use for web development.
I’m Paul Martin McNeill — a technologist passionate about applying artificial intelligence, data analytics, and software engineering to create inclusive and intelligent digital systems. My focus lies at the intersection of human-centred design and emerging technology, building tools that empower people and improve everyday life.
My most recent work, the AAC App, represents a significant step in assistive communication technology (AAC). This cross-platform application enables individuals with speech and language difficulties to communicate through pictogram-based interfaces enhanced by on-device AI predictions. Built with React Native, TensorFlow.js, and Firebase, the app provides real-time caregiver dashboards, offline support, and data-driven insights — demonstrating how ethical AI can enhance accessibility, autonomy, and care.
The project integrates machine learning, cloud architecture, and accessibility engineering — showcasing skills in Python, JavaScript, TensorFlow, Power BI, and SQL. It also embodies my commitment to ethical computing: user data privacy (GDPR), WCAG 2.1 AA compliance, and transparent AI interaction were designed into every component. The system is being developed as an open-source framework to make assistive technology more affordable and inclusive.
I’ve delivered transformative data analytics solutions for organisations such as Platinum Support & Care Services, leading a digital transformation from paper-based reporting to real-time performance intelligence. Using Microsoft Access, Power BI, and the Power Platform, I centralised data flows, automated reporting, and built KPI dashboards that improved operational efficiency and strategic visibility.
As Creative Director at Paramount Perceptions, I combine technical precision with visual design, delivering web platforms that united brand identity with functionality. This role refines my ability to lead multi-disciplinary teams, manage client expectations, and deliver innovative solutions that balance form and function — skills that underpin my AI and data-driven development projects.
I hold multiple professional certifications, including Google Cloud Professional Machine Learning Engineer and DeepLearning.AI TensorFlow Developer credentials, supported by a First-Class BSc (Hons) in Computing and IT from the Open University. My training covers data engineering, cloud deployment, and full-stack AI integration, providing a solid foundation for advanced research and intelligent system design.
I actively collaborate with developers, healthcare professionals, and academics to advance technology that serves society — from predictive analytics to inclusive AI. My guiding philosophy is simple: technology should adapt to people, not the other way around. Whether through data-driven insight or AI-powered communication tools, my goal is to build systems that improve lives with empathy, intelligence, and precision.
Google Cloud, 2025
British Computer Society (MBCS)
Institution of Engineering & Technology
Python Institute
DeepLearning.AI (Coursera)
Issued by Amazon Web Services (AWS)
