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Compiler engineer at Cerebras Systems. Formerly worked on the Sorbet type checker/compiler at Stripe, compilers at Groq, and the Intel nGraph deep learning compiler project. Functional programming nerd in my younger, wilder days.
University of Missouri-Columbia
Ph.D., Computer Science
January 1, 2005 – January 1, 2014
University of Missouri-Columbia
B.A., summa cum laude, Computer Science
January 1, 2000 – January 1, 2005
Cerebras Systems
Member Of Technical Staff
April 1, 2022 – Present
Stripe
Software Engineer
September 1, 2020 – April 1, 2022
Portland, Oregon, United States
Groq
Compiler Engineer
October 1, 2019 – September 1, 2020
Portland, Oregon
Intel Corporation
Deep Learning Software Engineer
September 1, 2017 – October 1, 2019
Intel Corporation
Machine Learning Engineer
June 1, 2016 – September 1, 2017
University of Missouri
Postdoctoral Fellow
November 1, 2014 – June 1, 2016
University of Missouri
Graduate Fellow
January 1, 2011 – October 1, 2014
The University of Iowa
Summer Visitor
June 1, 2010 – August 1, 2010
University of Missouri
Graduate Research Assistant
January 1, 2008 – December 1, 2010
University of Missouri
Graduate Fellow
June 1, 2007 – June 1, 2009
University of Missouri
Graduate Teaching Assistant, Department of Computer Science
August 1, 2005 – December 1, 2010
University of Missouri
Peer Learning Assistant, Department of German and Russian Studies
August 1, 2004 – May 1, 2005
University of Missouri
Tutor, The Learning Center
January 1, 2002 – January 1, 2004
Cultural Fit Analysis
The candidate's background shows a strong inclination towards deep technical challenges, research, and innovation, which aligns well with a role requiring advanced FPGA development. Their diverse experience across academia and industry, including roles at cutting-edge companies, suggests adaptability and a continuous learning mindset. The long tenure in academia and subsequent transition to industry roles indicates a blend of theoretical rigor and practical application. The target role of 'FPGA Developer' is a strong match for their Ph.D. research and postdoctoral work.
Soft Skills & Operational Fit
The candidate's academic and professional history suggests strong analytical and problem-solving skills. Experience as a teaching assistant and instructor indicates good communication and presentation abilities. The focus on research and development implies a self-driven and innovative approach. However, specific operational fit regarding team collaboration or stress handling cannot be fully assessed without psychometric test results or interview data.