Simon Hessner is a Machine Learning Engineer based in London with nine years of experience building Python-driven ML systems across NLP, computer vision, deep learning and animation. He has moved between research and product roles at organizations like Synthesia, Mindtech and Carnegie Mellon, and currently applies his expertise at UnderwriteMe after recent ML work at NLPatent. Simon pairs research-grade experimentation with production-focused engineering—evident from his CMU research internship and contributions to open-source front-end tooling where he fixed tricky tooltip flicker and added robust typings to the popular Recharts library. A 2020 BlindData Python competition winner, he brings a blend of academic rigor and practical problem-solving that surfaces in both model development and UI/UX-sensitive integrations.
8 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Master of Science - MS at Karlsruhe Institute of Technology (KIT)
M.Sc in Computer Science (exchange student), M.Sc in Computer Science (exchange student) at Carnegie Mellon University
Contributions:7 commits, 2 PRs, 22 comments in 2 months
Contributions summary:Simon primarily focused on improving the Recharts library's tooltip functionality and component typing. They fixed a flickering tooltip issue by preserving state across re-renders. The user also enhanced the codebase by adding type definitions for the label prop in various chart axes and restructured the `componentWillReceiveProps` function. Furthermore, they addressed linting issues and merged changes.
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Simon Hessner - Machine Learning Engineer at UnderwriteMe