Summary
Jarrod Leddy is a Senior Software Engineer and physicist-turned-developer with 12 years of experience applying HPC, AI/ML, and simulation expertise to complex scientific and cloud infrastructure problems. He currently helps define and deploy Azure hardware/software stacks for GPU-heavy workloads at Microsoft, drawing on prior leadership at Tech-X where he drove GPU acceleration, simulation development, and product responsibilities. His work spans NVLink validation, cluster workload modelling, electromagnetic and plasma simulation on CPU/GPU, and virtualization of next-gen HPC architectures like Grace Hopper/Blackwell. Jarrod maintains two open-source Python packages—UNBAFFELD for Bayesian fusion-data analysis and SLAGG for geometry-aware load balancing—demonstrating a pragmatic blend of research-grade algorithms and production tooling. Colleagues benefit from his rare combination of deep physics training (PhD in plasma physics) and hands-on systems engineering that turns research ideas into scalable software.
12 years of coding experience
9 years of employment as a software developer
Bachelor’s Degree, Applied Physics, Bachelor’s Degree, Applied Physics at Georgia Institute of Technology
Doctor of Philosophy (Ph.D.), Plasma and High-Temperature Physics, Doctor of Philosophy (Ph.D.), Plasma and High-Temperature Physics at University of York
Master’s Degree, Science Teacher Education/General Science Teacher Education, Master’s Degree, Science Teacher Education/General Science Teacher Education at Georgia State University
English