Summary
Mark Ormerod is an AI Engineer in Belfast with 11 years of experience blending academic rigour and applied ML to build NLP systems for healthcare and industry. About to submit a PhD examining the "black box" of neural networks and integrating cognitive science insights to refine deep models, he has practical experience deploying BERT/XLNet-based solutions on clinical text and building clinician-facing prototypes. He has delivered production-ready NLP pipelines using PyTorch, AWS (SageMaker, Bedrock, Lambda) and standard ML toolkits, and has advised on statistical evaluation across projects. At Adoreboard and Queen’s he combined topic modelling, sentiment analysis and predictive modelling to extract actionable signals from noisy text. Now at ARC Regulatory he applies that research-to-production expertise to regulated environments, where interpretability and reliability matter as much as accuracy. Colleagues describe him wryly as “trained to go? → yup,” reflecting a pragmatic, research-driven approach to solving real-world AI problems.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering - BE, Computer Science, First Class Honours, Bachelor of Engineering - BE, Computer Science, First Class Honours at Queen's University Belfast