• Refactored legacy codebases, enabling reproducible experiments in ligand-binding simulations.

• Explored energy efficient methods of optimization using clustering in spiking neural networks.

• Analyzed 300+ GBs transit datasets using Python and SQL and reconstructed geospatial graphs.

• Built data pipelines to pull data from various SQL Views to allow seamless integration of data into powerful analysis tools.

• Built various other internal tooling used to data analysis.

• Guided and helped students design, and build their own prototypes of projects, as well as document their work and prototype, including blueprints and a project website.

• Worked on potential projects that students may take on in the future, as well as updated out of date documentation for existing projects.

Responsible for guiding high school students how to build and document advanced technological projects.