I tackle unforeseen and unsolved challenges every day, and I enjoy applying my training as a mathematician along with my Python programming skills to run experiments, analyse problems.
I'm currently a Forward Deployed Engineer - Pre-sales at Union.ai. Previously, I worked as a consultant in the San Francisco Bay Area, leveraging open-source libraries from the Scientific Python ecosystem to build production-grade solutions for my clients. Over time, I've developed specialisations in Machine Learning, Deep Learning, Predictive Data Analysis, Natural Language Processing, and Open Source Development.
I'm a core contributor to scikit-learn, where
I collaborate with the core maintainers and other contributors to provide simple and
efficient tools for accurate data analysis and machine learning. As a member of
scikit-learn's Contributor Experience Team, I also help triage issues
and support new contributors in getting familiar with the codebase and contribution
process through discussions and pull request reviews.
Previously, I studied mathematics at the University of California, Davis, and Purdue University.
Hobbies
In my spare time, I enjoy reading books and listening to music (classical and rock and roll). I also like hanging out with cats.
Want to Work with Me?
I'm excited by opportunities where I can help solve complex technical challenges, especially in data science, machine learning, or open-source development, with an emphasis on creating tools that empower others to excel. My open-source contributions reflect my focus on building solutions that stand the test of time, both technically and in terms of community trust.
I work best with teams that have the confidence to welcome diverse perspectives and the imagination to explore multiple paths to a solution. The most rewarding collaborations I've had were with people who already had strong ideas, but were curious enough to test them against new ones. Because innovation rarely comes from doing exactly what we've always done.
The teams I click with tend to measure success not just by delivery dates, but by the depth of thought behind the work, the quality of the results, and the long-term value to the people who rely on it. If you share that mindset, I think we'd get along famously.
Have We Met Before?
We might have met at one of the following places or events: