Alex Larionov is a Machine Learning Engineer based in London with nine years of experience bridging research-grade statistical ML and production systems. He completed a PhD in Statistical Machine Learning at Imperial College London and has transitioned research insights into commercial products through roles at QuantCo and as a data science engineer. Comfortable across the stack from model development to deployment, he has hands-on experience in full-stack engineering from an earlier role at Limejump and industrial internships at BAE Systems. Alex focuses on building practical systems that deliver measurable value while retaining a researcher’s rigor for principled methods and deep dives into hard problems. He combines a strong mathematics background with a pragmatic engineering mindset, making him adept at turning novel algorithms into robust, production-ready features. A detail that sets him apart is his dual identity as an engineer-researcher, actively moving between academic depth and applied impact.
9 years of coding experience
6 years of employment as a software developer
Master's degree Mechanical Engineering, Master's degree Mechanical Engineering at Imperial College London
Contributions:17 commits, 38 pushes, 4 branches in 1 month
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