§ 2.0 — EXPERIMENTS

Selected Work

Each project is an experiment. Hypothesis → build → learn. Repeat.

EXP-04 / Sports Analytics

ACTIVE

nba-predictive-modeling

A machine learning project for predicting Golden State Warriors game outcomes using feature engineering and incremental learning.

Pythonnba-apiXGBoostLightGBMRandom Forest
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EXP-03 / Deep Learning

COMPLETE

neural-network-optimization

A comprehensive C++ neural network implementation with optimization algorithms and Iris evaluation.

C++CMakeEigen3Google TestGoogle Benchmark
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EXP-02 / Agent Systems

COMPLETE

dungeons-of-eternity-crewai

An HTML5 card game with AI-powered enemies and dynamic content generation via CrewAI.

HTML5JavaScriptPythonCrewAI
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EXP-01 / Predictive Modeling

COMPLETE

college-tuition-prediction

Predicting US college tuition using institutional and geographic features with strong regression performance.

PythonPandasScikit-learnPyTorch
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EXP-05 / Product Research

DRAFT

adcontext

Draft concept for context-aware ad intelligence that links audience intent signals to creative strategy suggestions.

TypeScriptNLPVector Search
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