Storm Slivkoff
Data Associate

Storm Slivkoff

Storm is a data associate at Paradigm. He uses data science and data engineering to analyze crypto systems and build crypto data infrastructure. Storm is passionate about open source software and open data standards. He has published open-source tools for collecting and analyzing data from many crypto protocols. Prior to Paradigm, Storm was a data specialist at Fei Labs. He earned his PhD from UC Berkeley doing neuroscience research.

Written by Storm

Introducing flood: a load testing tool for benchmarking EVM nodes

Introduction Load testing is a critical step in the development of resilient, high-performing data systems. Nevertheless, load testing has not been widely applied in the development of cryptocurrency infrastructure. We're thrilled []

by Storm Slivkoff, Georgios Konstantopoulos on Jun 06, 2023