Research to Reality: Bringing Frontier ML Research to Production - Vaidas Razgaitis, Higharc
Higharc's labs team uses a systems-and-process approach to move frontier ML research into production via three focus areas.
“How do we facilitate that and how do we do it productively? And we look at this basically as a systems and process problem”
A senior research engineer at Higharc describes the organizational challenge of handing off frontier ML prototypes from researchers to production software engineers in a home-building/spatial-reasoning context. He outlines three focus areas—research legibility, code structure (monorepo modularization), and team velocity—to improve the research-to-production pipeline. It offers practical MLOps process insight but no major industry announcement.