Principal Software Engineer [ML/Fullstack]

Jacob is a DevOps and Python specialist with experience in deploying scalable Machine Learning systems in production.

Jakub’s expertise is in running Machine Learning at scale, and building effective end-to-end pipelines using GPU-enabled containers that can be used both in the cloud and on-premises.

Before joining Sigmoidal, Jakub gained solid knowledge about fault-tolerant, high-available architecture and deployment in a data-scraping-at-a-scale project. Every component of a complex scraping system was connected to a centralized queue to easily balance the workload between multiple nodes and to be able to add new ones on the fly.