Optimised software infrastructure for machine learning
This project aims to develop a more efficient and powerful backend for our SaaS solutions, capable of processing millions of requests daily to enable the automated analysis of small molecules. The backend will ensure fair scheduling between requests from different users, highly efficient distribution of requests, robust logging and minimal idle time to conserve energy. This will further strengthen our position as an innovative software provider in mass spectrometry analysis.
