Christopher william Huebner

Senior Machine Learning Engineer and AI Systems Architect with 10+ years of experience building and shipping production-grade ML systems, scalable distributed data platforms, and enterprise LLM-powered applications. Strong expertise in Python, deep learning systems, NLP pipelines, and MLOps infrastructure including CI/CD, model versioning, monitoring, and rollback strategies. Proven ability to design end-to-end training, inference, and evaluation pipelines that operate reliably at scale. Experienced in building RAG systems, vector search architectures, and integrating LLMs (OpenAI, Anthropic, Gemini) into production SaaS platforms. Adept at translating ambiguous business requirements into measurable ML outcomes while collaborating across engineering, data science, and product teams. Strong background in regulated systems, including healthcare data environments with privacy and compliance constraints.