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Hiring MLEs at evenup. Send your most impressive paper, github repo, or demo to get fastracked.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Stanford University
PhD Candidate (left for industry), Computer Science
January 1, 2012 – January 1, 2014
Columbia University
Bachelor of Science (B.S.), Computer Science
January 1, 2008 – January 1, 2012
EvenUp
Principal Machine Learning Engineer
March 1, 2025 – Present
New York City Metropolitan Area
Instacart
Staff Software Engineer
July 1, 2021 – March 1, 2025
New York City Metropolitan Area
Senior Software Engineer
June 1, 2019 – July 1, 2021
New York City Metropolitan Area
Bloomberg LP
Senior Machine Learning Engineer
May 1, 2017 – June 1, 2019
New York City Metropolitan Area
Software Engineer
February 1, 2014 – April 1, 2017
Mountain View, CA
Columbia | SIPA
Research Assistant
September 1, 2011 – August 1, 2012
New York, NY
Santa Fe Institute
Research Intern
June 1, 2011 – August 1, 2011
Albuquerque-Santa Fe Metropolitan Area
The University of Texas at El Paso
Research Intern
June 1, 2010 – August 1, 2010
El Paso Metropolitan Area
Cultural Fit Analysis
The candidate has worked at several prominent tech companies, indicating adaptability to fast-paced, high-performance environments. The transition from PhD candidacy to industry, and a consistent career progression, suggests ambition and a drive for impact. However, the target role of 'Data Analyst' is a significant shift from 'Principal Machine Learning Engineer' or 'Staff Software Engineer', which might indicate a mismatch in career trajectory or expectations. The lack of detailed project descriptions makes it hard to assess alignment with specific company values or collaborative styles.
Soft Skills & Operational Fit
The candidate's resume indicates a strong background in research and engineering, suggesting analytical problem-solving and technical execution. However, without specific project details or psychometric test results, it is difficult to assess soft skills like teamwork, communication, or stress handling. The operational fit for a Data Analyst role is moderate, given the candidate's primary experience is in ML/SWE, which often involves different day-to-day tasks than a pure Data Analyst.