Curriculum Vitae

Responsible for staying up-to-date with machine learning literature and using this to drive innovation in our products.

Spearheaded a project for integrating skeleton-based action recognition into the company's product. Performed extensive research, and identified the most viable strategy for implementation.

Developed benchmarking tools to measure real-life performance of human pose recognition models to determine the best model for the company's use case. This led the identification of better models and a deeper understanding of the product's limitations.

Invented a novel method for calibrating multi-camera systems, improving accuracy and user-experience, and leading to a patent application.

Developed a service broker and launching system, with capabilities to monitor and log services. This is now a core part of the product and drastically improved developer experience.

Maintained and upgraded Jenkins CI/CD pipelines, improving development experience on all the company's Python projects.

Maintained and improved core systems for deployment of human pose recognition.

Created a holographic augmented reality system using head tracking and a projector to display a 3D scene from the user's perspective.

Initially started a PhD in pure mathematics, later transitioning to applied mathematics (numerical linear algebra).

Authored 5 papers during PhD, of which 4 have accompanying Python codebases. One paper is in pure mathematics, two in computational algebra, one on numerical linear algebra, and one on machine learning.

Taught 3 courses per year as an assistant, receiving consistent positive feedback from students.

Helped as a scientific editor of a science communication journal.