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SW Engineer @ NVIDIA
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Columbia University
Statistics, Computer Science
January 1, 2009 – January 1, 2011
Tufts University
Electrical Engineering, Image Processing
January 1, 2008 – January 1, 2009
Northeastern University
BS, Electrical Engineering
January 1, 2000 – January 1, 2005
NVIDIA
Principal Engineer
July 1, 2022 – Present
Spotify
Staff Engineer, Machine Learning
March 1, 2019 – June 1, 2022
Spotify
Senior Machine Learning Engineer
February 1, 2019 – March 1, 2019
Spotify
Machine Learning Engineer
September 1, 2016 – February 1, 2019
Stripe
Machine Learning Engineer
July 1, 2015 – August 1, 2016
Sum
Senior Software Engineer
March 1, 2014 – May 1, 2015
NYC
Tumblr, Inc.
Data Scientist
August 1, 2011 – February 1, 2014
New York, NY
Columbia Business School
Research Computing Specialist
July 1, 2009 – August 1, 2011
Kernco, Inc.
Electrical Engineer
January 1, 2002 – July 1, 2008
Cultural Fit Analysis
The candidate has a strong background in large, innovative tech companies (NVIDIA, Spotify, Stripe, Tumblr), which suggests adaptability to fast-paced, data-driven environments. Their experience spans various domains from physiological sensor data analysis to spam detection and blog discovery, indicating a broad interest and ability to apply data analysis skills across different problem spaces. The transition from Electrical Engineering to Data Science/Machine Learning roles demonstrates a capacity for continuous learning and career evolution. However, the target role of 'Data Analyst' might be a step down from their 'Principal Engineer' and 'Staff Engineer, Machine Learning' roles, potentially indicating a mismatch in career trajectory or expectations, or a desire for a different type of challenge. The lack of specific project details beyond job descriptions makes it difficult to fully assess cultural alignment with a specific company's values or project types.
Soft Skills & Operational Fit
The candidate's resume indicates strong leadership and mentoring skills through their experience in hiring, training, and managing teams. Their work at Columbia Business School and Tumblr suggests an ability to collaborate with diverse teams (finance, economics, product engineers, business intelligence). The detailed descriptions of building and transitioning frameworks imply strong problem-solving and project management capabilities. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.