Paul is a seasoned AI and neural network specialist with a deep focus on language models, applied machine learning, and SaaS platform architecture. His work bridges academic depth with real-world execution — blending Bayesian mathematics, regression modelling, and inferential statistics with modern software engineering.

At Aiphoria, Paul leads the technical vision for our Voice AI platform, ensuring it is scalable, secure, and intelligent by design. His passion lies in building elegant, high-performance systems that turn complex AI models into everyday tools for business users.

Paul's experience

Paul brings over 15 years of experience in machine learning and enterprise software, with a track record of building AI platforms that solve real-world problems. His technical repertoire spans R, Python, Matlab, C#, and TypeScript — alongside deep familiarity with Azure AI Services, Power BI, and scalable microservice design.

He has led teams developing conversational AI, predictive analytics models, and enterprise-grade data pipelines — consistently turning cutting-edge AI concepts into products that users trust and love.

From designing NLP features for voice assistants to automating customer insight extraction at scale, Paul is known for his ability to lead from the codebase to the whiteboard — always with clarity, curiosity, and rigour.

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