Collaborated with MIT GTL and teachers at Liceo Scientifoc Belfiore to teach and plan a month’s worth of biology lessons for high school students of all years.

Created unique lessons on stem cells; restriction enzymes; Cre-Lox and CRISPR Cas-9; epigenetics and iPSCs; unique cells and their use in discoveries; neuroscience techniques; and modern drug discovery methods.

Added numerous features to a production trading platform that allowed the platform to more easily handle trades at scale.

Built a full-stack (FastAPI, MongoDB, React) automated configuration management system to increase development and deployment speed of multiple trading applications.

Designed and created data pipelines to process and upload vast quantities of data at high speeds for quantitative analysis.

Migrate and develop a Python codebase that helps fit Hidden Markov Models to EEG and LPF data.

Utilize computational tools to understand how ketamine can affect neural circuits and rhythms in the brain when used at anesthetic-strength.

Developed backend Rest API endpoints (Django, FastAPI) and improved a statistics processing pipeline (from pseudopolynomial to polynomial).

Developed the savings planner and reports page on Ansible Automation Analytics which helped individual customers save thousands of dollars on automated computing costs.

Worked on unit test migration from Enzyme to React Testing Library.