Alex Shires is a Data Engineer and AI Solution Architect with 11 years of experience designing, building, and productionising cloud-native ML systems for Financial Services and Life Sciences clients. Based in Cambridge, MA and affiliated with Google Cloud, he blends deep data science expertise with software engineering rigor to operate reliable, production-grade ML pipelines. His background includes a First Class MSci in Physics with Theoretical Physics and a PhD in High Energy Particle Physics from Imperial College London, giving him a strong foundation in complex modelling and quantitative problem solving. He focuses on production ML concerns—scalability, observability, and robustness—translating research-grade models into auditable, enterprise-ready systems. Known for bridging domains, he brings the precision of a physicist to pragmatic cloud engineering decisions, often prioritising reproducibility and lifecycle management in high-stakes regulated environments.
11 years of coding experience
MSci Physics with Theoretical Physics, Physics, Cosmology, First Class Honours, MSci Physics with Theoretical Physics, Physics, Cosmology, First Class Honours at Imperial College London
Physics, Maths, Chemistry, Further Maths, Physics, Maths, Chemistry, Further Maths at Hardenhuish School
Contributions:2 PRs, 8 pushes, 1 branch in 10 months
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