Andrei is a PhD student with Neil Lawrence’s group. His primary research focus is an intersection of software systems and machine learning. Prior to coming to Cambridge, he received Masters degree from Belarusian State University, and spent a number of years as a software engineer, working on everything from web applications to data center networks.

Related Publications

An Empirical Evaluation of Flow Based Programming in the Machine Learning Deployment Context

Andrei Paleyes, Christian Cabrera, Neil D. Lawrence

1st International Conference on AI Engineering – Software Engineering for AI, :

Challenges in Machine Learning Deployment: A Survey of Case Studies

Andrei Paleyes, Raoul-Gabriel Urma, Neil D. Lawrence

ACM Comput. Surv., Association for Computing Machinery:

Towards Better Data Discovery and Collection with Flow-Based Programming

Andrei Paleyes, Christian Cabrera, Neil D. Lawrence

Neurips Data-Centric AI Workshop (DCAI), :

Real-world Machine Learning Systems: A survey from a Data-Oriented Architecture Perspective

Christian Cabrera, Andrei Paleyes, Pierre Thodoroff, Neil D. Lawrence