Summary
Brian Silverstein is a Staff Data Scientist based in Seattle with 9 years of experience applying machine learning and NLU to enterprise IT and HR products at ServiceNow. He combines a PhD in Mechanical Engineering and decades of industrial process-control expertise to build robust anomaly detection, time-series, and text-summarization systems that move from research to production. Brian’s work spans Python prototyping, Java production code, and experimentation frameworks that drive measurable product impact, and he has a history of creating large operational savings in heavy industry. After a 20-year career improving steel manufacturing, he deliberately pivoted to data science and brings uncommon domain knowledge in control systems and automation to AI problems. Colleagues rely on him to translate complex physical-process intuition into practical ML solutions that improve observability and insights in IT operations.
9 years of coding experience
26 years of employment as a software developer
M.S., Mechanical Engineering, 3.8 (A=4), M.S., Mechanical Engineering, 3.8 (A=4) at Purdue University
B.S., Mechanical Engineering, 3.6 (A=4), B.S., Mechanical Engineering, 3.6 (A=4) at University of Illinois Urbana-Champaign
Certificate, Data Science, Certificate, Data Science at Galvanize Inc
Spanish, Italian