AI Performance Engineer - Google Cloud TPU Inference
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I like making code go fast.
University of Colorado Boulder
Doctor of Philosophy - PhD, Computer Science
January 1, 2011 – January 1, 2017
University of Colorado Boulder
Master of Science (M.S.), Computer Science
January 1, 2011 – January 1, 2013
University of Arkansas
B.S., Computer Science
January 1, 2007 – January 1, 2011
AI Performance Engineer (TPU Inference)
May 1, 2023 – Present
Seattle, Washington, United States
Amazon
Machine Learning Engineer II - Alexa AI
October 1, 2021 – May 1, 2023
Seattle, Washington, United States
Amazon Web Services (AWS)
Research Engineer II
October 1, 2020 – October 1, 2021
Seattle, Washington, United States
Amazon Web Services (AWS)
Research Engineer
March 1, 2020 – October 1, 2020
Seattle, Washington, United States
Amazon
Research Engineer: Alexa Speech
March 1, 2018 – March 1, 2020
Seattle, Washington
Amazon Web Services
Software Engineer: AWS MobileHub
August 1, 2017 – March 1, 2018
Seattle, Washington
Lawrence Livermore National Laboratory
Summer Computation Intern
May 1, 2015 – August 1, 2015
Livermore, CA
University of Colorado Boulder
Doctoral Candidate
August 1, 2014 – August 1, 2017
Boulder, CO
Lawrence Livermore National Laboratory
Summer Computation Intern
May 1, 2014 – August 1, 2014
Livermore, California
University of Colorado Boulder
Teaching Assistant
January 1, 2014 – December 1, 2014
Boulder, CO
Terraspark Geosciences
Software Developer / R&D
August 1, 2011 – January 1, 2014
Westminster, Colorado
University of Illinois at Urbana-Champaign
Undergraduate Researcher - Economics / Parallel Computing
June 1, 2010 – August 1, 2010
Champaign, IL
UC Santa Cruz
Undergraduate Researcher - Bionics
June 1, 2009 – August 1, 2009
Santa Cruz, CA
University of Arkansas
Engineering Peer Mentor
August 1, 2008 – May 1, 2011
Greater Fayetteville, AR Area
University of Arkansas
Undergraduate Researcher - Nanomaterials
June 1, 2008 – August 1, 2008
Greater Fayetteville, AR Area
Lighthouse
August 1, 2014 – July 1, 2017
Lighthouse is a framework for creating, maintaining, and using a taxonomy of available software that can be used to build highly-optimized matrix algebra computations. The taxonomy provides an organized anthology of software components and programming tools needed for that task. The taxonomy will serve as a guide to practitioners seeking to learn what is available for their programming tasks, how to use it, and how the various parts fit together. It builds upon and improves existing collections of numerical software, adding tools for the tuning of matrix algebra computations.
Akula Animation
May 1, 2013 – May 1, 2013
Submarine animation using Maya 2013
OpenCL/OpenMP N-Body Solver
December 1, 2012 – December 1, 2012
Created an N-Body solver in OpenGL that compares the processing power of OpenMP and OpenCL with serial C++.
Pinball Animation
December 1, 2012 – December 1, 2012
Pinball table created and animated in Maya 2013.
Chua Circuit
May 1, 2012 – May 1, 2012
Created a physical Chua Circuit which has chaotic properties and compared this to an ideal circuit as well as the mathematical representation.
OpenLP Solver
December 1, 2011 – December 1, 2011
OpenCL solver for linear programs
Cultural Fit Analysis
The candidate's background in both academic research (PhD, multiple research internships) and industry roles at leading tech companies (Google, Amazon) demonstrates a blend of theoretical depth and practical application. Their involvement in diverse projects, from chaotic circuits to N-body solvers and large-scale AI performance, indicates intellectual curiosity and a broad technical interest. The focus on performance optimization and complex systems aligns well with a demanding, innovation-driven environment.
Soft Skills & Operational Fit
The candidate's extensive research and industry experience, particularly in performance optimization and complex system analysis, suggests strong problem-solving and analytical skills. Their teaching assistant role indicates communication and mentorship abilities. The project diversity and long tenure at major tech companies like Amazon and Google suggest adaptability and a capacity for sustained high-level work.