Alexandre Payot is an AI Engineer with eight years of experience blending aerodynamic research, optimisation and software engineering to build practical tools for multidisciplinary teams. A PhD in fluid dynamics and topology optimisation from the University of Bristol, he has moved research-grade methods into product contexts at startups like DaptaBlade and at Graphcore, where he now works on AI systems. He excels at making complex mathematical and computational techniques accessible to engineers, having led development of optimisation and analysis tooling and automated workflows for real-world problems. His background spans academic simulation, biomedical image-analysis projects for AMR testing, and platform-facing roles that bridge support and engineering. Based in Bristol, he combines deep numerical expertise with hands-on software delivery and a clear drive to create meaningful abstractions that let domain experts focus on impact.
8 years of coding experience
7 years of employment as a software developer
Non-Degree Exchange Student, Ingénierie aérospatiale, aéronautique et astronautique, GPA: 3.819, Non-Degree Exchange Student, Ingénierie aérospatiale, aéronautique et astronautique, GPA: 3.819 at University of California, Davis
Baccalauréat Option Internationale, Sciences including mathematics, physics and biology, Baccalauréat Option Internationale, Sciences including mathematics, physics and biology at Lycée international de Saint Germain en Laye
Master of Engineering (M.Eng.), Aerospace, Aeronautical and Astronautical Engineering, First Class Honours, Master of Engineering (M.Eng.), Aerospace, Aeronautical and Astronautical Engineering, First Class Honours at University of Bristol
French, English
Stackoverflow
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Github Skills (121)
python10
ui-components10
gradio-interface10
gtk10
qt10
optimisation10
ai10
transformer10
data-visualization10
gpt10
developer-tools10
cli10
data-science10
llama10
amd10
Programming languages (10)
TypeScriptPowerShellC++JavaScriptStanHTMLJupyter NotebookCommon Workflow Language
A set of tutorials for using Graphcore IPUs on Paperspace Gradient
Contributions:15 reviews, 95 commits, 17 PRs in 4 months
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