Epistemic Engineer and independent AI researcher working at the intersection of epistemology, AI safety and ethics, large language models, research methodology, and human-machine knowledge. I design and test practical frameworks for evaluating the reliability of AI-assisted knowledge production, with a focus on evidence provenance, source fidelity, epistemic robustness, reproducibility, and human oversight. I combine philosophical training with hands-on experience in research, LLM workflows, technical communication, and project development, with a focus on turning abstract epistemic problems into testable methodologies and practical tools.