Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Group Manager - Machine Learning Intuit
I am a technologist who's incredibly passionate about Data and Software. I'm also a big believer in taking initiative and solving the problems that need solving and have most impact, instead of waiting around to be told what to work on. That passion and mindset have led me to many roles throughout my career: researcher, engineer, programmer, scientist, analyst, and PM. Some examples are provided below. As a researcher, I've collaborated with Academia and Labs to integrate cutting-edge visualization technology with data mining techniques on Big Data. As an engineer and programmer, I've designed and developed end-to-end ML modeling and execution systems, capable of ETL, deploying and scoring models, and managing feature sets. As a data scientist, I've produced models with 7 figure revenue lift, and gained particular expertise in imbalanced classification tasks. I'm also very dedicated to mentorship and service. As Founder and Co-Chair of the Broadening Participation in Data Mining program, I've managed teams of volunteers and organizers to create a fully-funded yearly workshops for underrepresented students and mentors. My other great passions in life are family and sports. I love to travel and spend time with my wife and boys. I am an avid runner and will follow just about any sport. For fun, for example, I've conducted research into College Football BCS, College XC rankings, and NFL betting odds.
Auburn University
Doctor of Philosophy (Ph.D.), Computer Science and Software Engineering
January 1, 2004 – January 1, 2010
Auburn University
Master’s Degree, Computer Science and Software Engineering
January 1, 2004 – January 1, 2009
Berry College
Bachelor’s Degree, Computer Science, Mathematics
January 1, 2001 – January 1, 2004
Intuit
Group Manager - Machine Learning Engineering
October 1, 2017 – Present
Mountain View, CA
Zynga
Head of Data Science Infrastructure
May 1, 2017 – October 1, 2017
San Francisco Bay Area
Zynga
Principal Data Scientist
August 1, 2015 – May 1, 2017
San Francisco Bay Area
Zynga
Senior Data Scientist
August 1, 2014 – July 1, 2015
San Francisco Bay Area
Robert Bosch Research and Technology Center
Senior Research Engineer
January 1, 2014 – August 1, 2014
Palo Alto, CA
Robert Bosch Research and Technology Center
Research Engineer
April 1, 2012 – December 1, 2013
Palo Alto, CA
Robert Bosch Research and Technology Center
Postdoctoral Researcher
March 1, 2011 – March 1, 2012
Palo Alto, CA
Auburn University
Researcher
August 1, 2009 – August 1, 2010
Auburn, Alabama Area
McKesson Provider Technologies
Software Engineering Intern
June 1, 2007 – August 1, 2007
Greater Atlanta Area
Auburn University
Graduate Research Assistant
August 1, 2005 – August 1, 2006
Auburn, Alabama Area
Auburn University
Graduate Teaching Assistant
August 1, 2004 – May 1, 2009
Auburn, Alabama Area
CCDH: Cloudera Certified Developer for Apache Hadoop
Cloudera University
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning academic research (Auburn University, Robert Bosch Research and Technology Center) and industry (Zynga, Intuit), including roles in both research and product-focused environments. This breadth of experience suggests adaptability and a potential for strong cultural fit in dynamic organizations. The progression from individual contributor to group manager roles indicates ambition and a growth mindset. The focus on data science infrastructure and machine learning engineering aligns well with data-driven cultures.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight leadership, mentorship, and cross-functional collaboration (e.g., 'Educate business stakeholders and translate technical to business centric content'). The management roles suggest strong organizational and strategic thinking. The ability to lead teams and influence product roadmaps indicates strong operational fit for senior-level responsibilities.