Dylan Murzello

Building fine-tuned local LLMs with memory, emotional reasoning, and adaptive behavior. Focused on intelligence augmentation, psychological pattern modeling, and real-time recon systems. Passionate about automating structured insight extraction (Recon Bytes) from unstructured sources using custom NLP pipelines. Exploring cognitive compression, local inference efficiency, and neural data modeling for long-term use cases in productivity, defense, and behavioral tech.