Simon Swan
Staff Machine Learning Engineer at Synthesized
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolSimon Swan is a Staff Machine Learning Engineer with eight years’ experience building end-to-end ML systems and leading teams to productionise deep generative models for structured data across finance, insurance and healthcare. At Synthesized he has driven research-to-product work on synthetic data, founded department-level ML practices, and maintains FairLens, an open-source toolkit for measuring data bias. Trained in Physics and Computational Linguistics at Cambridge, he combines statistical rigor, NLP foundations and a taste for formal ideas—measurement theory, set theory and philosophy of language—to connect data to real-world meaning. He mentors engineers to favour simplicity and consistency, enjoys both digital and analogue photography, and champions transparent, healthy engineering cultures.
8 years of coding experience
7 years of employment as a software developer
MSci Physics/Computational Linguistics, MSci Physics/Computational Linguistics at University of Cambridge
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (54)
earth-movers-distance10
machine-learning-models9
training-data9
differential-privacy9
data-analysis8
python8
privacy8
privacy-preserving8
machine-learning8
statistics8
datasets8
monitoring8
data-science7
devops7
golang7
Programming languages (6)
Github contributions (5)
synthesized-io/fairlens
Aug 2021 - Apr 2022
Identify bias and measure fairness of your data
Contributions:22 reviews, 27 commits, 25 PRs in 8 months
data-analysispythondatastatisticsdata-science
synthesized-io/docs-ui
Jun 2022 - Mar 2025
Contributions:4 releases, 1 review, 6 PRs in 2 years 8 months
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