Zain Patel
Quantitative Developer
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolZain Patel is a quantitative developer based in London with eight years of experience building production-grade data and trading systems, currently helping launch a global mid-frequency systematic equities desk at Maven. He blends a Cambridge mathematics background with hands-on software engineering—designing backends, Kubernetes infrastructure, and DevOps pipelines—to move models from research into scalable production. Previously he led backend and infra for QuantumBlack’s Brix platform and contributed significantly to open-source projects like Kedro and Great Expectations, improving CLI usability, dataset versioning, and deterministic serialization. Comfortable across the full stack, he has experience in distributed compute, CI/CD, and real-world data quality tooling, and has a track record of mentoring and hiring junior engineers. An early contributor to Zarr integrations and production tooling, he brings both quantitative rigor and pragmatic engineering discipline to systematic trading challenges.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Arts (BA), Mathematics, 2.i, Bachelor of Arts (BA), Mathematics, 2.i at University of Cambridge
French, English
Stackoverflow
1,003reputation
43kreached
34answers
1question
Github Skills (22)
data-quality10
python10
jupyter10
data-engineering10
testing10
kedro10
documentation10
cli10
setuptools9
microsoft-azure9
azure9
markdown-it8
json8
markdown8
pipeline7
Programming languages (14)
Github contributions (5)
kedro-org/kedro
Jun 2019 - Oct 2021
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:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:17 reviews, 54 commits, 30 PRs in 2 years 4 months
Contributions summary:Zain primarily contributed to the `kedro` project by implementing features related to CLI commands and improving project documentation. They added functionality to the `build-docs` command, enabling the option to open documentation in the browser after building. The user also enhanced the Azure CSVBlobDataSet by adding versioning capabilities, and refactored existing tests. The contributions reflect a focus on improving usability and functionality of the core project.
experiment-trackingpythonsciencepipelinedata-science
zarr-developers/zarr-python
Aug 2018 - Apr 2020
An implementation of chunked, compressed, N-dimensional arrays for Python.
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:1 review, 14 commits, 4 PRs in 1 year 8 months
Contributions summary:Zain contributed to the project by improving the README file, adding badges and download statistics, and updating its use of `README.md`. They also made PyPI-friendly modifications to the `setup.py` file. Furthermore, they implemented better error handling for the `ipytree` dependency within Jupyter notebooks, demonstrating a focus on user experience and integration of the library. These actions suggest a well-rounded approach to enhance both the project's presentation and functionality.
pythonn-dimensionaldimensionalarrayszarr
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