Welcome! This profile reflects an aspiring programmer's journey to enhance personal productivity working in close collaboration with Google's AI assistant.

Zeldovich fluid dynamics & Wasserstein Distance applied to the S&P 500. An experimental, AI-assisted framework analyzing volatility vortexes, structure deformation, and tail-risk anomalies in marke…

A strategic architectural blueprint of the world's most resource-efficient Kaggle Grandmasters. Achieving Top 1% performance using mathematical intuition instead of brute-force compute.

Resource-efficient rank-based ensembling for Kaggle S6E9. A lightweight solution optimizing ensemble weights via mathematical ranking intuition instead of brute-force compute. Focuses on feature in…

Behavioral Mean Field Games Engine (BMFG-Engine)

An interactive Google Colab simulator bridging school math and Data Science. A youth-focused foundational tool designed to help young learners master mathematical intuition and algorithmic thinking…

Universal framework for tabular ML based on entropy decomposition, game theory, and autonomous data quality auditing

Live soccer analytics framework using Optimal Transport (Wasserstein Distance) for tactical profiling and Bellman's Backwards Induction for stochastic game optimization.