A personal research intelligence system that ingests newsletters and Instagram content into an Obsidian vault, applies PageRank and community detection for relevance matching, and runs sandboxed AI experiments on promising tools.

A native macOS intelligence system that fuses habit tracking, biometric data from WHOOP, and AI-powered analytics into a holographic HUD interface. Features NLP parsing, Gemini-driven sentiment analysis, linear regression for habit-mood correlation, and auto-generated performance briefings.

Built a k-nearest neighbors recommender system for bird species identification, featuring custom decay functions, soft-zero weighting, and multi-dimensional hyperparameter optimization. Achieved 1st place in class-wide Kaggle competition.

Custom-built feedforward neural network predicting Antibody-Derived Tag (ADT) protein expression from RNA sequencing data. Achieved 0.858 Pearson Correlation and 1st place.

Built a cross-modal Variational Autoencoder predicting ADT protein expression from RNA sequencing data without paired samples, using adversarial latent space alignment. Achieved 0.75 Pearson Correlation and 2nd place.

Predicted wine tasting note probabilities from climate data and grape varietals using a multi-model ensemble. Achieved MAE of 0.01873 and 2nd place in competition.

Coupled dimensionality reduction with a Bayesian-optimized SVM to predict high school academic success from high-dimensional, mixed-type US Census survey data. Achieved 90% recall for at-risk students.

Serverless weekly meal planner powered by Google Gemini with a Gordon Ramsay persona. Generates dinner options, handles selections via Telegram, and produces aisle-grouped grocery lists.