Projects

A selection of personal and professional projects spanning AI agent systems, data pipelines, enterprise tooling, and game development.

Personal

Research & Game AI

FranData

Enterprise Data & AI

Stack

Python · AWS · Agents

Personal Projects

LLM benchmarks, game AI, agent architectures, reinforcement learning, and side projects.

ChronoBench

LLM benchmark measuring how far frontier models progress through Chrono Trigger using an autonomous, vision-based game agent. Live leaderboard with per-run telemetry, checkpoints, and cost tracking.

LLM Evals AI Agents Benchmarking

LM Battle Arena

LLM commanders draft tank squads, fight multi-round domination matches, and evolve between rounds — self-chosen identities, coach-driven edits, and opponent intel. ELO leaderboard and full match telemetry.

LLM Multi-Agent Game AI

Ludic_Director

Python library for threaded "director" layers that enqueue LLM tool actions; host runs validation on the sim thread. No game engine dependency — tool calling, memory, persona markdown, multi-layer architecture.

Python LLM AI Agents Game AI

GameAgentHarness

Framework for building and testing AI agents in game environments. Supports multi-agent orchestration and evaluation harnesses.

Python AI Agents Game AI

ClassicControl

Classic control and reinforcement learning experiments. Benchmarking agent architectures against standard control problems.

Python Reinforcement Learning AI

Loreofthelands

AI-driven game project exploring procedural narrative generation and world-building with LLM-powered systems.

Python Game Dev AI

scorched_earth

Game project built with AI agent integration — combining classic gameplay mechanics with modern AI techniques.

Python Game Dev AI

GameResearch

Research workspace for game AI experimentation — prototyping agent behaviors, decision systems, and simulation architectures.

Python Research Game AI

Professional / FranData

Enterprise data pipelines, AI extraction systems, and lending platform tooling.
Built and maintained as Director of Lending & Risk Products.

Document Intelligence Pipeline

Multi-stage AI pipeline that converts dense franchise disclosure documents into structured, machine-readable data at scale.

Python Document AI Data Pipeline AI

AI Search & Validation System

Research tooling that surfaces findings across a large disclosure-document corpus, pairing retrieval with an AI validation layer and analyst-ready outputs.

Python NLP AI Validation

Entity & Signal Extraction

Automated AI extraction and classification of company, franchisee, and technology signals from documents and public sources, feeding the franchise intelligence platform.

Python AI Data Extraction ETL

Data Ingestion & Scoring Automation

Automation that ingests analyst-completed research and proprietary scoring data into the central data platform, validating everything on the way in.

Python Automation Data Validation

Core Data Platform Tooling

Internal query, upload, and operations utilities supporting the franchise intelligence data platform.

Python Database Internal Tools