Antony Milne
Senior Machine Learning Engineer at QuantumBlack, a McKinsey company
United Kingdom
Summary
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Rockstar🎓
Top SchoolAntony Milne is a Senior Machine Learning Engineer with seven years of industry experience and a strong academic foundation—BA/MSci from Cambridge, an MRes and PhD from Imperial College, and postdoctoral research in data science. At QuantumBlack (McKinsey) he has progressed from Data Scientist to senior engineering roles, delivering production-ready ML and MLOps solutions that bridge research and real-world impact. He is an active open-source contributor, improving tooling such as Kedro and kedro-viz (full-stack refactors, GraphQL backend work and CI/test fixes) and enhancing the popular rich library’s Jupyter integration. A seasoned educator with over 1,000 contact hours, Antony brings rare teaching experience to technical mentoring and documentation. His background in mathematical physics and quantum information gives him a rigorous, probabilistic approach to modeling and a knack for simplifying complex pipelines.
7 years of coding experience
4 years of employment as a software developer
BA, MSci, Experimental and Theoretical Physics, First Class (87%), BA, MSci, Experimental and Theoretical Physics, First Class (87%) at University of CambridgeMRes, Controlled Quantum Dynamics, Distinction (90%), MRes, Controlled Quantum Dynamics, Distinction (90%) at Imperial College London
Stackoverflow
141reputation
4kreached
4answers
0questions
Github Skills (30)
data-visualizations10
spark10
rich-text10
python10
apidoc10
jupyter10
data-engineering10
testing10
terminal-emulator10
data-visualisation10
terminal-application10
kedro10
api10
pipeline10
rich-editor10
Programming languages (10)
Github contributions (5)
kedro-org/kedro
Feb 2021 - Sep 2022
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
Role in this project:
Data Engineer & MLOps Engineer
Data Engineer & MLOps EngineerContributions:665 reviews, 154 commits, 134 PRs in 1 year 6 months
Contributions summary:Antony primarily contributed to the project by updating documentation and examples related to the Spark integration within the Kedro framework. They made changes to the documentation of the spaceflights tutorial. Furthermore, the user added a deprecation warning to `KedroContext.run` and updated the project to use the current version of the software. They also moved filter method to Pipeline class and addressed various bug fixes.
experiment-trackingpythonsciencepipelinedata-science
kedro-org/kedro-viz
Nov 2021 - Sep 2022
Visualise your Kedro data and machine-learning pipelines and track your experiments.
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:259 reviews, 26 commits, 61 PRs in 10 months
Contributions summary:Antony primarily focused on improving the codebase and functionality of the Kedro-viz project. They addressed issues with testing, ensuring correct formatting via CircleCI, and refining the default responses for the API. Additionally, they added Gitpod configuration and refactored the GraphQL backend, demonstrating a strong understanding of both backend and frontend aspects of the project. Their contributions also include removing workarounds and simplifying code.
experiment-trackingpythonreactkedro-plugindata-science
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