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Staff Machine Learning Engineer at Upstart
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My dream job is to work for a company where I do something that impacts the world while at the same time using my analytical skills. Specialties: Programming experience in multiple languages, strong mathematical background, quick learner.
Colorado School of Mines
Masters of Science, Statistics
January 1, 2013 – January 1, 2014
University of Colorado Denver
Certificate, Statistics
January 1, 2010 – January 1, 2011
Monash University
Mathematics
January 1, 2009 – January 1, 2010
University of Colorado Denver
MS, Mathematics
January 1, 2007 – January 1, 2009
Colorado School of Mines
Bachelor of Science, Engineering Physics
January 1, 2004 – January 1, 2007
Platte Canyon High School
Diploma
January 1, 2000 – January 1, 2004
Upstart
Staff Machine Learning Engineer
January 1, 2023 – Present
United States · Remote
AMP Robotics
Senior Machine Learning Developer
January 1, 2018 – January 1, 2023
Greater Denver Area
Experfy
Lecturer
January 1, 2017 – March 1, 2017
Coolblue
Senior Data Scientist
April 1, 2016 – January 1, 2018
Rotterdam Area, Netherlands
FAO
Statistician
December 1, 2014 – March 1, 2016
Rome, Latium, Italy
Mediaplex
Client Analyst
September 1, 2012 – March 1, 2014
Denver Metropolitan Area
eBags
Statistical Analyst
April 1, 2011 – September 1, 2012
Denver Metropolitan Area
University of Colorado Denver
Statistical Consultant
October 1, 2010 – May 1, 2011
Denver Metropolitan Area
City of Melbourne
Intern
April 1, 2010 – August 1, 2010
Greater Melbourne Area
Monash University
Research Assistant
September 1, 2009 – August 1, 2010
Greater Melbourne Area
United Launch Alliance (ULA)
Mechanical Engineer: Separation Dynamics
August 1, 2007 – April 1, 2009
Englewood, CO
Detecting Insults in Social Commentary
August 1, 2012 – December 1, 2012
Kaggle hosts data mining competitions, and I worked on a project analyzing some text data they posted. The problem was: Given some comment (from an online blog, forum, tweet, etc.) determine whether it is an insult. They provided a training dataset in the form of a two-column matrix (text and 1/0 for insult/not insult). Using text data mining techniques, I developed an algorithm that was able to predict insults on the test data set with an AUC of roughly .90.
Causal Attribution Engine (IMPACT)
March 1, 2012 – Present
Development of the industry's first true Causal Inference measurement system for marketing performance measurement.
Algorithms: Design and Analysis, Part 1
Coursera
June 24, 2026 – Present
Learn to Program: The Fundamentals
Coursera
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience, ranging from academic research in Latin Squares to industrial AI and marketing performance measurement, indicates a broad intellectual curiosity and adaptability. Their roles in various companies (startups, large corporations, international organizations) suggest an ability to thrive in different organizational cultures. The lecturing experience also points to a willingness to share knowledge and contribute to team growth. The target role of Data Analyst aligns well with their extensive background in statistical analysis and data-driven problem-solving.
Soft Skills & Operational Fit
The candidate's experience as a lecturer and statistical consultant suggests strong communication and problem-solving skills. Their work on diverse projects indicates adaptability and a structured approach to complex analytical challenges. The descriptions of automating performance monitoring and designing statistical methods point to an operational mindset focused on efficiency and accuracy.