I am a high-integrity Systems Architect and Full-Stack Engineer specializing in the development of autonomous, local-first AI ecosystems. As an AWS AI & ML Practitioner, I bridge the gap between advanced AI training and robust full-stack management, architecting systems that ground neural networks in deterministic knowledge graphs to eliminate hallucinations. My expertise spans the entire development lifecycle—from designing specialized ML algorithms and fine-tuning LLMs with PyTorch and SageMaker to engineering distributed, event-driven agent frameworks. By integrating universal observability through custom toolkits , I ensure that every AI decision is traceable and secure, providing clients with scalable, privacy-focused solutions that prioritize data sovereignty and operational reliability.