Toolbox
Skills
Built up through the Chemical Property Predictor: RDKit for molecular descriptors, PCA for dimensionality reduction, CatBoost as the model, and Optuna to tune it per property. TensorFlow came first, from the FTC object detection pipeline. FAISS is from the xkcd semantic search project.
Plain JavaScript and HTML/CSS run the College Credit Transfer Equivalency Tool, a static site with no backend. React, Node.js, and TypeScript are for the flashcard app. Vercel and Cloudflare are what I deploy to.
Go runs the calculation engine behind the Bazaar Economy Pipeline; Python runs its Flask dashboard. Kotlin is for Akarahnet. Java came from FTC robotics. Git and Docker are used across most of these projects.
Fusion 360 and OnShape are for CAD work on VEX and FTC robots. LaTeX is for lab reports and coursework.
Coursework
Education
Graduating May 2027, Class of 2027. GPA 4.0 unweighted / 5.83 weighted.
Relevant coursework: Calculus BC, AP Computer Science A, AP Physics C, Multivariable Calculus, Linear Algebra, Discrete Mathematics, AP Chemistry, AP Macroeconomics, Python Scripting.