Freddy Wordingham is a Principal Architect and research-driven software engineer with 11 years’ experience building high-performance simulation and cloud-native ML systems. He develops and maintains ARCTK, a cross-language (Rust, Python, JS) library that powers physically accurate Monte Carlo radiative transfer, reaction–diffusion and rendering pipelines used in photodynamic therapy research at the University of Exeter. At digiLab he architected serverless, explainable-AI platforms for fusion, aerospace and water sectors, scaling a startup into a deep-tech engineering team while leading Gaussian Process and neural network deployments. His background in HPC optimization and vectorized FEM/MCRT implementations has produced 3x runtime improvements and enabled real-time virtual clinical trials for non-melanoma skin cancer. Equally comfortable in research and product settings, he combines strict numerical rigour with pragmatic engineering—often choosing Rust for performance-sensitive simulation tooling.
11 years of coding experience
5 years of employment as a software developer
Pate's Grammar School
MPhys - Physics & Astrophysics Computational Astrophysics, MPhys - Physics & Astrophysics Computational Astrophysics at University of Exeter
Contributions:43 pushes, 1 branch in 2 years 6 months
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Freddy Wordingham - Principal Architect at digiLab