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A continuously-running, self-hosted vulnerability intelligence CLI tool that aggregates CVE and exploit data from six authoritative sources, stores it in PostgreSQL, and exposes it through a conversational LLM interface with self-critique verification.

Developed a GPU-accelerated particle simulation visualizing emergent behaviors and ecosystem dynamics among thousands of species.

Dual AI agents (Rhys for Sales, Pete for Services) built with Streamlit and Gemini. Supports RAG via Vertex AI, Google Search fallback, Zapier lead/case creation, and BigQuery-powered printer log lookups.

A data-driven system that collects and integrates UFC match statistics, engineers rich historical and contextual features, and trains Random Forest models to predict match outcomes with calibrated confidence.

Developed iterative Bounty Hold'em agents culminating in a neural policy that uses card/bet embeddings and action masking; includes a local engine to pit bots against each other.

End-to-end ML/RL project that aggregates MSFT 60‑minute price data and StockGeist sentiment, trains an LSTM price predictor, and evaluates trading strategies including a risk-aware rules engine and PPO reinforcement learning.