Summary
Paddy Conbhui is a Lead Engineer based in Dublin with 13 years of experience building high-performance, maintainable systems that bridge research and commercial needs. He combines deep HPC and numerical simulation expertise (C, C++, Fortran, Python, GPU) with practical cloud-native and microservices experience—having modernized large analytics platforms on Kubernetes and paid down significant technical debt. His background spans academic research (PhD in Geophysics) in micromagnetism and seismic data I/O to applied work optimizing Dask, CUDA/GPU pipelines and Exascale storage solutions. Paddy is comfortable translating fuzzy business requirements into robust architectures, leading small teams, and documenting/untangling legacy code to enable scalable deployments. An underappreciated strength is his track record of tuning bottlenecks across the stack—from MPI-IO and Lustre to Dask schedulers and container images—making complex systems reliably performant.
13 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD) Geophysics, Doctor of Philosophy (PhD) Geophysics at The University of Edinburgh
Bachelor of Arts (B.A.) Theoretical Physics, Bachelor of Arts (B.A.) Theoretical Physics at Trinity College Dublin
Irish, French