Daniel Paddon - Machine Learning Engineer at Wayve

Daniel Paddon

Machine Learning Engineer at Wayve

London, England, United Kingdom

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Summary

🤩

Rockstar

🎓

Top School

Daniel Paddon is a Machine Learning Engineer with 11 years of experience building cloud-native ML solutions across finance, logistics, and mapping, currently working at Wayve after a recent stint at Mapbox. He blends production-focused Python expertise (NumPy, Pandas, scikit-learn, Keras/TensorFlow) with GCP and SQL to operationalise models, and has delivered optimisation and computer vision systems in high-throughput environments at Gousto. Earlier roles at Monitor Deloitte and dunnhumby show a strong foundation in applied ML, anomaly detection and stakeholder-facing tooling, including a Javascript GUI for non-technical users. An active contributor to the Quasar Framework, he has worked on accessibility, UI components and IE compatibility—evidence of full-stack instincts that help bridge model development and user-facing products. Trained with an MSc in Data Science & Machine Learning from UCL and a BEng in Mechanical Engineering, he combines rigorous academic grounding with practical production experience.

11 years of coding experience

9 years of employment as a software developer

Bachelor of Engineering - BEng Mechanical Engineering, Bachelor of Engineering - BEng Mechanical Engineering at The University of Manchester

Mathematics Further Mathematics Physics Chemistry Geography Computing (AS), Mathematics Further Mathematics Physics Chemistry Geography Computing (AS) at Lawrence Sheriff School

University College London

Github Skills (15)

html10

component-development10

css10

uid10

responsive-design10

javascript10

front-end-development10

ui-design10

forms10

quasar-framework10

vue-jsx10

ui-components10

accessibility9

autocomplete9

Programming languages (15)

JavaCSSC++RustCVueHTMLSvelte

Github contributions (5)

quasarframework/quasar

Apr 2017 - Jan 2023

Quasar Framework - Build high-performance VueJS user interfaces in record time

Role in this project:

Full-stack Developer

Contributions:41 reviews, 1391 commits, 1718 PRs in 5 years 9 months

Contributions summary:Daniel made numerous contributions to the Quasar Framework, a Vue.js-based UI framework. Their work involved fixing bugs and implementing new features across various components, including SessionStorage, QDialog, QEditor, and QSlideTransition. The user also made significant contributions to styling and a11y aspects.

pwavueiosquasarserver-side-rendering

quasarframework/quasar-play

Jan 2018 - Sep 2018

[<= 0.17] Quasar Framework Showcase App

Role in this project:

Front-end Developer

Contributions:9 commits, 10 PRs in 8 months

Contributions summary:Daniel primarily focused on enhancing the user interface and functionality of the Quasar Framework showcase app. Their contributions involved implementing and modifying UI components like buttons, pagination, steppers, fields, lists, and autocomplete features, integrating with the Quasar UI library. They also refactored the layout, adding new features and adjusting existing ones to the showcase app, and addressed IE-specific compatibility issues.

vueshowcase-appquasarshowcasequasar-framework

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