I’m Nathan Bryans, a senior machine learning engineer and technical lead working across AI platforms, MLOps, and production systems.

My interests sit at the boundary between software engineering as a discipline and applied AI/ML: inference systems, platform design, developer experience, reliability, and the practical trade-offs that appear once models leave the notebook.

Outside work, I’m usually climbing, tinkering with keyboards, planning a trip, or working through house projects.

Topics I write about

• AI platforms and MLOps
• LLM-assisted engineering workflows
• Production inference systems
• Team leadership and technical decision-making
• Tools, side projects, and occasional hobby notes