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Assessing your cultural and operational fit
Distinguished Engineer
Physicist excited about statistical inference and machine learning on large-scale datasets working in anti-abuse/security/risk. Previously, as a physicist, I performed some of the first experiments on new atom-sized systems for precision nanoscale sensing and quantum information processing. Some coverage of my work is here: VICE Motherboard: https://motherboard.vice.com/en_us/article/ev4yjz/we-can-use-existing-telecom-infrastructure-for-quantum-communications Nature Reviews Materials: https://www.nature.com/articles/natrevmats201752 Science: http://science.sciencemag.org/content/357/6352/649 My academic publications are available on Google Scholar: https://bit.ly/1PSK2lO
University of Chicago
Doctor of Philosophy (Ph.D.), Quantum Science & Technology, Molecular Engineering
January 1, 2013 – January 1, 2016
UC Santa Barbara
Master of Arts (M.A.), Physics
January 1, 2009 – January 1, 2014
University of Minnesota
Bachelor of Science (B.S.), Physics
January 1, 2005 – January 1, 2009
University of Minnesota
Bachelor of Science (B.S.), Mathematics
January 1, 2005 – January 1, 2009
Ford Motor Company
Distinguished Engineer
February 1, 2025 – April 1, 2026
Palo Alto, California, United States · Remote
Discord
Staff Machine Learning Engineer
May 1, 2022 – August 1, 2024
San Francisco Bay Area
Cash App
Machine Learning Engineer (L6)
April 1, 2021 – May 1, 2022
San Francisco Bay Area · Hybrid
Senior Software Engineer - Data Mining/Machine Learning
December 1, 2019 – April 1, 2021
Software Engineer - Data Mining/Machine Learning
January 1, 2018 – December 1, 2019
Insight Data Science
Data Science Fellow
September 1, 2017 – December 1, 2017
Palo Alto, California
University of Chicago
Postdoctoral Scholar
September 1, 2016 – August 1, 2017
Chicago, Illinois
University of Chicago
Graduate Student Researcher
July 1, 2013 – August 1, 2016
Chicago, Illinois
UC Santa Barbara
Graduate Student Researcher
September 1, 2009 – July 1, 2013
Santa Barbara, California
National Institute for Materials Science
REU Intern
June 1, 2009 – August 1, 2009
Tsukuba, Japan
UC Santa Barbara
REU Intern
June 1, 2008 – August 1, 2008
Santa Barbara, California
University of Minnesota
Undergraduate Researcher
August 1, 2006 – May 1, 2009
Minneapolis, Minnesota
Cultural Fit Analysis
The candidate has a strong background in highly technical and research-intensive roles, transitioning from academia to senior engineering positions in prominent tech companies. Their experience spans various domains within data and ML, including anti-abuse, fraud mitigation, and real-time systems. While the target role is 'Data Analyst', the candidate's experience is heavily skewed towards Machine Learning Engineering and Data Engineering, which are typically more advanced and implementation-focused than a traditional Data Analyst role. This suggests a potential mismatch in the scope and depth of the target role versus the candidate's demonstrated capabilities. The breadth of skills is high, but the alignment with a pure 'Data Analyst' role might require clarification.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight leadership in technical initiatives, mentoring engineers, and cross-team collaboration, suggesting strong soft skills. Their academic background and transition into industry roles indicate adaptability and a strong problem-solving mindset. The detailed descriptions of architecting and leading projects suggest a proactive and ownership-driven operational fit.