Simon Swan
AI Engineer at Solve Intelligence
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.
9 years of coding experience
8 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 (49)
earth-movers-distance10
training-data10
monitoring9
python9
statistics9
metric9
privacy9
differential-privacy9
type-checking9
data-analysis8
pandas8
machine-learning8
synthetic-data8
data-science8
machine-learning-models7
Programming languages (7)
Github contributions (5)
synthesized-io/datasets
Nov 2021 - Feb 2024
Contributions:11 releases, 13 reviews, 4 PRs in 2 years 3 months
datasetsrelational-datatabular-datatime-series-dataml
synthesized-io/docs-ui
Jun 2022 - Mar 2025
Contributions:4 releases, 1 review, 6 PRs in 2 years 8 months
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