Software engineer approaching three years of professional experience, with a background in mathematics, chemistry, and physics. In college, I taught, researched, and published in the field of computational quantum chemistry, before graduating at age 18 [sic]. In my first role at AWS (AI/ML), I built user interfaces for AWS SageMaker, a cloud-native ML platform. In my current role at AWS, I have led the design, development, and integration of several open source initiatives by AWS targeting Project Jupyter and the AI/ML space. These include major efforts like the development of Jupyter AI, Jupyter Scheduler, and Jupyter FileID, as well as significant contributions to JupyterLab and LangChain.Today, I'm focused on developing Jupyter AI and JupyterLab, improving Python build tooling, improving the Conda Forge ecosystem, and applying product management and engineering leadership. At home, I enjoy casually exploring technical subjects which interest me. My recent studies include Conflict-Free Replicated Data Types (CRDTs), probability theory, Bayesian statistics and modeling, and linear algebra.