work PhD Defense — Scalable Planning through Learning Interactive defense presentation covering GABAR and GammaZero — scalable planning in fully and partially observable domains. Verifier-Guided Multi-Agent Orchestrator Training LLM orchestrators for PDDL planning using compiler feedback as dense supervision GammaZero GNN framework for scalable POMDP planning with uncertainty-aware graph representations GlobXAI LLM-based natural language interface for explainable AI over image classifiers GNN-Based Action Ranking Graph neural networks for learning to rank actions in classical planning Hierarchical Object-Oriented POMDP Hierarchical planning for object rearrangement in partially observable environments Intelligent Embodied Agent Object retrieval in interactive environments with 91% success rate Diffusion for Motion Planning Using denoising diffusion models to generate collision-free paths in cluttered environments XGBoost Precipitation Forecasting Hackathon-winning ML solution for agricultural precipitation prediction Prioritized DDPG Enhanced reinforcement learning for continuous control with parameter noise exploration fun Stop Prompting. Start Architecting. A 5-concept training session on using AI as a builder, not a chatbot. Made for my labmates.