I specialise (can and have taught courses) in
MATLAB, and a wide range of tooling:
While personally more inclined towards UNIX (I have a Debian phone), most of my work has a strong emphasis on cross-platform compatibility.
I would describe myself as a Computational Physicist who appreciates the importance of user accessibility (the latter includes ease of installation, robustness, keeping breaking API changes to a minimum, and most importantly impeccable documentation & metadata – including release notes, versioning and licensing).
Here’s a breakdown of the number of lines of open source code I’ve written:
Projects I have worked on include:
- Physics simulations
- Real-time machine vision for:
- object tracking
- augmented reality
- Machine learning for:
- image denoising and artefact reduction
- classification (natural language processing as well as more esoteric)
- predicting data warehouse usage patterns
- Performance optimisation
- converting script prototypes into compiled – optionally GPU-executable – code
- Creating and maintaining software frameworks, including:
- continuous integration
- software which does version control (because Git isn’t perfect)
- system administration (user accounts, network security, managing publicly accessible servers)
Free and Open Source
A few open source projects/organisations which I maintain or co-maintain.
Click here if you are interested in funding my efforts.
A Fast, Extensible Progress Bar for Python and CLI
With millions of weekly downloads, this is one of the most popular Python packages worldwide
Unifying Python/C++/CUDA memory
Python buffered array ↔ C++11
std::vector ↔ CUDA managed memory
Some organisations which I’ve worked with to release free software.