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ML Engineer | Building AI Products
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
Master’s Degree, Statistics - Data Science
January 1, 2016 – June 1, 2018
University of California, Berkeley
Bachelor’s Degree, Statistics and Business Administration
January 1, 2012 – January 1, 2016
Nubank
Senior Engineer Manager - AI/ML
August 1, 2024 – Present
San Francisco Bay Area · Hybrid
Hyperplane (acquired by nubank)
Machine Learning Engineer | Founding Team
May 1, 2022 – July 1, 2024
New York, United States · Remote
Senior Machine Learning Engineer
June 1, 2020 – April 1, 2022
San Francisco Bay Area
Machine Learning Engineer
July 1, 2018 – May 1, 2020
San Francisco Bay Area
Stanford University
Course Assistant
January 1, 2018 – March 1, 2018
United States
Machine Learning Engineer Intern
June 1, 2017 – September 1, 2017
San Francisco Bay Area
UC Berkeley
Undergraduate Research Assistant
August 1, 2014 – May 1, 2015
UC Berkeley
Twitch.TV: E-Sports Competitor Analyses
February 1, 2014 – Present
Supervised competitor and industry analyses, case studies, and student focus groups
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for an ML Engineer role, particularly in innovative and fast-paced environments, given their experience at a startup (Hyperplane) and large tech companies (LinkedIn, Nubank). Their academic background from top-tier universities (Stanford, UC Berkeley) and involvement in building foundation models align well with a culture of technical excellence and cutting-edge research. The personal project, though not deeply technical, shows initiative and an interest in data-driven analysis.
Soft Skills & Operational Fit
The candidate's career progression to Senior Engineer Manager and involvement in a founding team suggests strong leadership, initiative, and problem-solving skills. The description of 'Supervised competitor and industry analyses' in a personal project indicates analytical and strategic thinking. However, without specific psychometric test results or interview data, a detailed assessment of stress handling, work attitude, and team collaboration is not possible.