Bindi Chen - Software Engineer at Apple

Bindi Chen

Software Engineer at Apple

London, England, United Kingdom

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Summary

👤

Senior

🎓

Top School

Bindi Chen is a software engineer with 12 years of experience building data-driven products at the intersection of research and production, currently contributing to Apple Media Product analytics. With a PhD in Engineering and Computing Science and a strong publication record, she blends academic rigor with hands-on expertise in AWS, Node.js, Java, Python and full-stack machine learning. Her work at Elsevier advanced ScienceDirect features and PDF tooling, while earlier roles ranged from health informatics at Oxford to .NET systems and teaching—demonstrating breadth across backend services, data pipelines and user-facing applications. An active GitHub contributor, she focuses on practical full-stack machine learning projects that bridge algorithm development and real-world data preparation. Colleagues describe her as a pragmatic problem solver who turns research insights into scalable products.

12 years of coding experience

7 years of employment as a software developer

Bachelor of Science (BSc), Computer Software Engineering, 87, Bachelor of Science (BSc), Computer Software Engineering, 87 at Fujian Normal University

Master of Science (MSc), Internet System and E-business, Distinction, Master of Science (MSc), Internet System and E-business, Distinction at Durham University

Github Skills (8)

pandas10

machine-learning10

data-analysis10

python9

data-visualisation9

data-visualization9

data-visualizations9

deep-learning8

Programming languages (3)

JavaScriptHTMLJupyter Notebook

Github contributions (5)

BindiChen/machine-learning

May 2020 - Jul 2022

Practical Full-Stack Machine Learning

Role in this project:

Data Scientist

Contributions:89 commits, 3 PRs, 80 pushes in 2 years 2 months

Contributions summary:Bindi's commits focused on implementing and demonstrating machine learning techniques within the context of a full-stack machine learning project. The contributions involve the application of machine learning algorithms to structured data. The user is responsible for gathering, preparing, and analyzing the data used.

full-stackmachine-learningdeep-learningdata-analysispandas-python

BindiChen/a-better-programmer

Jul 2016 - Aug 2016

Contributions:13 commits, 12 pushes, 1 branch in 1 month

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