Ph.D., Principal Research Scientist at SIEMENS
Hi, I'm Sigurd ¶
I'm a data scientist and fullstack developer, specialized on MLOps. I love OSS as a user, contributor, and maintainer. As a university lecturer, I teach students about mathematical foundations of Deep Learning.
MLOps combines machine learning (ML) development and operations (Ops) for putting ML into production. Defining one buzzword by another, MLOps is DevOps for ML. It's a cross-cutting topic, requiring profound knowledge on a variety of aspects within both ML and DevOps, which are very different fields.
My primary areas of interest are:
Code style, typing, tests, documentation, maintenance, etc.
Scaffolding, modularity, stability, packaging, releases, etc.
RNG seeding, dependency locking, data pinning, accessibility, etc.
Code, data & model versioning, lifecycle trails, accountability, etc.
OSS, features, maturity, activity, interoperability, licenses, etc.
Code formatters, linters, type checkers, CI/CD, bots, etc.