Alex P is a Senior Airport Analyst and PhD candidate in Quantitative Risk Analysis for UAS with a decade of hands-on experience blending aviation operations, data science, and production software engineering. He has designed and deployed production-grade systems—from a C++ 4D air traffic deconfliction tool trialed live to cloud-native Python/React services on AWS/GCP—demonstrating an unusual ability to move research into operational use. His work spans large-scale spatiotemporal ML on terabyte air traffic datasets, distributed HPC simulations, and practical UAS integration systems that combine voice, situational awareness, and MAVLink interoperability. Comfortable across high-performance C++ and modern web stacks (React/TypeScript, FastAPI, Django), he also brings applied NLP and optimisation expertise for stakeholder insight and logistics planning. Based in Bristol, he’s actively seeking roles where rigorous modelling and aviation-domain intuition can drive measurable impact in aviation, insurance, or finance. An aviator at heart, he pairs real-world flying experience with academic rigor to build systems that safely scale novel airspace capabilities.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical Engineering, Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical Engineering at University of Southampton
3D extensions on top of uasgroundrisk, with partial abilities to calculate mid air collision risk.
Contributions:1 PR, 40 pushes, 1 branch in 2 years 10 months
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