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Staff Machine Learning Engineer, Risk + Fraud
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Assessing your cultural and operational fit
Staff Machine Learning Engineer (Fraud & Payments) with 12 years of experience, including supporting ML systems that secure $1.6T+ in annual payment volume. Known for cradle-to-grave ownership of ML systems (data engineering, analytics, modeling, infrastructure, serving) with hands-on execution, mentorship, and technical leadership. Check out herger.co for more
Out in Front
Leadership Fellow
January 1, 2019 – January 1, 2020
University of San Francisco
M.Sc., Data Science
January 1, 2014 – January 1, 2015
University of San Francisco
B.Sc., Physics
January 1, 2011 – January 1, 2014
Archbishop Riordan High School
High School Degree
January 1, 2006 – January 1, 2010
Stripe
Staff Machine Learning Engineer
February 1, 2024 – January 1, 2026
San Francisco, California, United States · Hybrid
Uber
Senior Machine Learning Engineer
October 1, 2020 – February 1, 2024
San Francisco, California, United States · On-site
Convoy Inc
Senior Research Scientist
April 1, 2019 – October 1, 2020
Greater Seattle Area
Kaplan
Senior Data Science Instructor
March 1, 2018 – April 1, 2019
Greater Seattle Area
Capital One
Senior Machine Learning Engineer
June 1, 2015 – March 1, 2018
San Francisco, California, United States
Lawfty, LLC.
Data Engineering Intern
January 1, 2015 – June 1, 2015
San Francisco Bay Area
RevUp Software
Data Science Intern
July 1, 2014 – December 1, 2014
San Francisco Bay Area
Perkins+Will
Data Science Intern
May 1, 2014 – July 1, 2014
San Francisco Bay Area
Lawrence Berkeley National Laboratory
Research Assistant
May 1, 2013 – May 1, 2014
Berkeley, California
University of San Francisco
Teaching Assistant
January 1, 2013 – May 1, 2014
San Francisco, Ca
The Home Depot
Front End Supervisor / Line Manager
March 1, 2011 – February 1, 2013
Colma, Ca
US Congresswoman Gabrielle Giffords, Office of
Constituent Relations Agent, Personal Assistant
July 1, 2009 – September 1, 2009
Greater Tucson Area
Certified ScrumMaster (CSM)
Scrum Alliance
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in high-growth tech companies (Stripe, Uber, Convoy, Capital One) and has actively participated in and founded employee resource groups (Pride at Uber, Pride@Convoy). This demonstrates a commitment to diversity and inclusion, and an ability to contribute positively to company culture. However, the target role is 'Data Analyst', which is a significant shift from their extensive 'Machine Learning Engineer' and 'Research Scientist' roles. While their analytical skills are strong, the direct alignment with a pure Data Analyst role, which often involves less ML model development and more business intelligence/reporting, is not explicitly demonstrated in their recent senior roles. This might indicate a potential mismatch in day-to-day responsibilities and expectations for a Data Analyst role.
Soft Skills & Operational Fit
The candidate's experience as a Tech Lead, founder of peer review councils, and involvement in diversity groups (Pride at Uber, Pride@Convoy) suggests strong leadership, collaboration, and communication skills. Their ability to translate ambiguous product requests into production ML systems indicates strong problem-solving and operational execution. The Certified ScrumMaster certification further supports an understanding of agile methodologies and project management.