Owen Corrigan is a Quantitative Developer and machine learning engineer with 14 years of experience applying computer vision and time-series ML across retail, agriculture, education and law enforcement. He holds a PhD in Machine Learning and has led projects from research to production, designing edge-optimized object detection, tracking and multi-signal fusion systems for real-world retail deployments. Owen built production-grade serving infrastructure (PyTorch high-throughput serving, protobuf/gRPC APIs) and practical solutions such as fisheye correction, planogram-aware stock monitoring and synthetic/real-data training pipelines. His background includes academic research—metric learning for image search, animated video summaries and privacy/ethics contributions to policing tools—giving him an uncommon blend of rigorous research and measurable business impact. Now based in Dublin at Susquehanna, he brings quantitative rigor to engineering problems and a track record of translating complex models into reliable, stakeholder-focused products.
14 years of coding experience
11 years of employment as a software developer
St. Aidans Christian Brothers School
Doctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at Dublin City University
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