Summary
Aidan Beggs is a software engineer with nine years of experience building performant systems across cloud, ML, and low-latency trading domains. He has repeatedly delivered measurable improvements—such as cutting integration test runtimes by over 80% and engineering sub-millisecond latencies for high-frequency trading stacks—while working at Amazon, Microsoft, and a stealth startup. His background spans systems-level C++ and LLVM/MLIR optimizations for ML runtimes, full-stack tooling in React/Python, and security- and data-focused internal platforms. Currently contributing to Project Kuiper at Amazon in Seattle, he combines production-scale engineering discipline with hands-on performance profiling and optimization skills. Colleagues rely on him to translate complex performance constraints into pragmatic tooling and measurable operational gains.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at North Carolina State University