Mikhail Sveshnikov is an AI engineer at Evidently AI with more than a decade of experience in machine learning and MLOps. His work centers on developer tools for reliable and measurable AI in production, helping teams test, evaluate, and monitor their ML systems so that quality can be tracked as rigorously as code.

He is an active open source contributor and has shared his tooling experience with the community, including a DataTalks.Club talk about MLEM, an open source library for deploying machine learning models. His particular interest is the gap between models that work in experiments and systems that stay reliable in production.