Simon Chiu
Machine Learning Engineer at Secondmind
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolSimon Chiu is a Machine Learning Engineer in London with six years of experience blending hands-on ML research and product engineering across financial services and education. Former CTO of a simulation-based fintech startup, he has led small teams to deliver React/Flask single-page applications while still contributing deep technical work in Python and model-focused tooling. At Secondmind he continues to apply ML expertise, and his open-source contributions to the well-regarded GPflow Gaussian process library show attention to code quality, type safety, and documentation—skills that improve maintainability as well as model correctness. He also advises a mental-health chatbot project, reflecting a practical interest in applying AI to socially important, under-resourced problems. Educated in Physics (Cambridge) and holding an MSc in Machine Learning and Data Mining, Simon pairs rigorous academic foundations with pragmatic product delivery.
6 years of coding experience
3 years of employment as a software developer
Bachelor of Arts - BA, Physics, Bachelor of Arts - BA, Physics at University of CambridgeMSc, Machine Learning and Data Mining, MSc, Machine Learning and Data Mining at University of Bristol
Github Skills (10)
machine-learning10
tensorflow10
python10
gpflow10
gaussian-processes10
documentation9
bayesian9
bayesian-statistics9
type-checking8
typehinting8
Programming languages (2)
Github contributions (5)
GPflow/GPflow
Nov 2022 - Jan 2023
Gaussian processes in TensorFlow
Role in this project:
ML Engineer
ML EngineerContributions:9 releases, 14 reviews, 70 commits in 2 months
Contributions summary:Simon primarily focused on documentation improvements and code formatting within the gpflow library. They added and refined docstrings, comments, and made formatting changes to enhance code readability and usability. The user also addressed mypy errors, indicating a focus on code quality and type safety within the project. Their contributions spanned several files related to the core kernel and model functionalities, demonstrating an engagement with the foundational aspects of the library.
information-theorygpflowdeep-learningmachine-learningmarkov-chain-monte-carlo
sc336/gsheets_frontend
Sep 2019 - Apr 2020
Contributions:81 pushes, 1 branch in 7 months
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