Publications and selected projects.
Papers and selected projects will be listed here. Meanwhile, see my Google Scholar profile or Contact.
Multi-objective evolutionary search with context-aware metrics for safer LLM behavior.
Large-scale ETL and Random Forest models that predict species presence across 500+ birds (0.76 F1).
TF-IDF and Random Forest classification of intent in 111k GitHub refactoring commits (0.87 macro F1).
Course notebooks that implement core algorithms from scratch live on GitHub:
An analysis of taxi usage patterns and fare prediction.
A from-scratch implementation of the decision tree algorithm.
A from-scratch implementation of the Naive Bayes classifier.
A custom toolkit for data preparation and dimensionality reduction.
Exploring text summarization methods.
A foundational implementation of the K-Means clustering algorithm.