Help & Supportcareers@gravityer.com
AI Platform @ Netflix | Berkeley & CMU alum
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Carnegie Mellon University
Master of Science (M.S.)
May 1, 2017 – Present
University of California, Berkeley
Bachelor of Science (B.S.)
N/A – Present
Netflix
Senior Software Engineer
October 1, 2025 – Present
Los Gatos, California, United States
Contextual
Founding Engineer
July 1, 2024 – June 1, 2025
San Francisco Bay Area
Mixpanel
Senior Software Engineer
August 1, 2022 – May 1, 2024
San Francisco, California
Mixpanel
Software Engineer
July 1, 2017 – August 1, 2022
San Francisco, California
Software Engineering Institute | Carnegie Mellon University
Student Software Engineer
May 1, 2016 – May 1, 2017
Pittsburgh, Pennsylvania
Cultural Fit Analysis
The candidate has worked at well-known tech companies (Netflix, Mixpanel) and a startup (Contextual), demonstrating adaptability to different organizational cultures. The experience in building data platforms and ML systems aligns with a data-driven environment. However, the target role is 'Data Analyst', while the candidate's experience is heavily skewed towards 'Software Engineer' and 'Data Infra/ML Engineer'. This indicates a potential mismatch in the specific day-to-day responsibilities and focus, which might impact cultural fit for an analyst role.
Soft Skills & Operational Fit
The candidate's experience as a Founding Engineer and Senior Software Engineer at prominent tech companies suggests strong leadership, problem-solving, and operational capabilities. However, without specific project details or interview data, it is difficult to assess soft skills like teamwork, communication, and adaptability directly. The psychometric test score is not provided, limiting assessment in this area.