Summary
Steve Bertolani is a Sales Engineer and data scientist with 11+ years applying computational chemistry and machine learning to problems spanning quantum chemistry, enzyme design, cheminformatics, bioinformatics and recommendation systems. He holds a Ph.D. in Physical Chemistry from UC Davis and transitioned from building on-prem computational pipelines and HPC workflows for structural biology to engineering declarative recommendation systems atop knowledge graphs at RelationalAI. Steve pairs deep domain expertise in modeling, Python, and statistical methods with practical experience shipping ML systems in production and supporting customers as an embedded sales engineer. Notably, his background bridges hands-on scientific computing (Rosetta, RDKit, C++, parallel programming) with modern data-science practices, giving him uncommon fluency in both research and product-oriented ML engineering.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Physical Chemistry - Computational, Doctor of Philosophy (Ph.D.) Physical Chemistry - Computational at University of California, Davis
Sierra College
California State University, Sacramento