Jack Geraghty is an AI & ML engineer and multimodal machine learning researcher completing a PhD at University College Dublin, with nine years of hands-on experience building robust models and scalable systems. His research specializes in handling missing data in multimodal and federated settings, with practical applications for Intelligent Transport Systems and Smart Cities that tackle heterogeneous, distributed IoT data. He has production experience at AWS processing over a trillion daily datapoints and currently applies his expertise at LoopDL, blending cloud-scale engineering with rigorous academic methods. Jack develops open-source tooling—including a PyTorch multimodal framework and performance-tuned Rust audio libraries—demonstrating a focus on reproducibility and performance. A seasoned educator and collaborator, he has supported 15+ university modules as a tutor while publishing peer-reviewed work and partnering with industry labs like InterDigital. He is relocating to London to bring his multimodal and federated learning experience to a research scientist role that values real-world impact.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University College Dublin
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