Madhava Jay
Queensland, Australia
Summary
🤩
Rockstar🎓
Top SchoolMadhava Jay is Head of Engineering at OpenMined and a digital-nomad AI engineer with a decade of production experience spanning web, data-driven systems, mobile apps and applied AI since 2017. He holds Udacity’s AI Nanodegree with a computer vision capstone and has transitioned from full‑stack and mobile development into leading privacy-preserving ML infrastructure. As an open-source DevOps-focused contributor he’s driven multi-architecture Docker and CI improvements for projects like PySyft and PyDP—adding linux/arm64 and macOS arm64 support to make privacy tooling portable and easier to deploy. He also contributes mobile and Python improvements (for example implementing human-readable time handling in SwiftMoment and CI fixes in pycapnp), blending hands-on coding with platform reliability. Ranked among Australia’s top committers, he’s known for shipping pragmatic infrastructure that keeps complex ML systems running across architectures and clouds.
11 years of coding experience
22 years of employment as a software developer
Certificate IV, Information Technology & Client Support, Certificate IV, Information Technology & Client Support at TAFE NSWArtificial Intelligence Nanodegree, Artificial Intelligence, Artificial Intelligence Nanodegree, Artificial Intelligence at UdacityHSC, English Language and Literature, General, HSC, English Language and Literature, General at Byron Bay Highschool
Stackoverflow
732reputation
35kreached
8answers
3questions
camera
top-5%
Github Skills (33)
github-ci10
ios10
docker10
python10
testing10
dockers10
cicd10
build-automation10
swift10
macos10
githubaction-workflow10
setuptools9
py9
unit-testing9
linux9
Programming languages (25)
Github contributions (5)
OpenMined/PySyft
Jul 2020 - Jan 2023
Perform data science on data that remains in someone else's server
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:9 releases, 795 reviews, 3313 commits in 2 years 7 months
Contributions summary:Madhava's commits primarily focused on infrastructure and deployment tasks within the PySyft project. Their work included adding support for various CPU architectures (linux/arm64), custom built wheels, and addressing build-related issues. They made significant changes to Dockerfiles, adding precompiled packages for different architectures and making enhancements to facilitate multi-architecture builds, including addressing issues within the Docker build and CI/CD pipeline, which ensures that the project runs smoothly.
pytorchcryptographyacquiringpythonscience
akosma/SwiftMoment
Dec 2015 - Sep 2017
A time and calendar manipulation library for iOS 9+, macOS 10.11+, tvOS 9+, watchOS 2+ written in Swift 4.
Role in this project:Mobile Developer (iOS)
Mobile Developer (iOS)Contributions:28 commits, 11 PRs, 9 pushes in 1 year 9 months
Contributions summary:Madhava primarily contributed to the SwiftMoment library by implementing the `fromNow()` functionality, which calculates and displays time differences in a human-readable format. They added comprehensive tests to ensure the accuracy of the `fromNow()` feature across various time intervals and locales, and also incorporated the feature into the playground for easy experimentation. Furthermore, the user made code improvements like refactoring the codebase, fixing existing issues, and upgrading the project to Swift 4, reflecting a commitment to code quality and maintenance.
manipulationmanipulation-librarydate-timecalendartvos
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