Deep Learning Research- Data Scientist / Deep Learning Engineer at NVIDIA
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Assessing your cultural and operational fit
Data Scientist with specialization in Deep learning and Machine learning. Presently work at NVIDIA in automotive team for research and development of deep learning based solution for AI-Copilot. MS in Data Science from GalvanizeU/University Of New Haven. Worked with early stage startups to build Machine Learning and deep learning based products in NLP and Computer Vision. Have prior experience of building large scale distributed systems for Investment banks and E-commerce companies.
University of New Haven
MS in Data Science, Data Science/ Machine Learning/Deep Learning/Predictive Analytics
January 1, 2015 – January 1, 2016
Malaviya National Institute of Technology Jaipur
Civil Engineering, Civil Engineering
January 1, 2001 – January 1, 2005
NVIDIA
Deep Learning @ NVIDIA
December 1, 2016 – Present
San Francisco Bay Area
msg.ai
Data Scientist-Deep Learning Research
May 1, 2016 – November 1, 2016
San Francisco Bay Area
FoxType
Data Scientist - RA
March 1, 2016 – August 1, 2016
San Francisco
Galvanize Inc
Masters Student in Data Science
January 1, 2015 – January 1, 2016
San Francisco
Barclays Investment Bank
Analyst
May 1, 2013 – August 1, 2015
Pune Area, India
Sapient Global Markets
Sr. Associate
April 1, 2011 – April 1, 2013
Bengaluru Area, India
Citi
Senior Software Engineer
July 1, 2007 – April 1, 2011
Mumbai Area, India
Cognizant Technology Solutions
Programmer Analyst
September 1, 2005 – July 1, 2007
Pune Area, India
Introduction to R
DataCamp
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a varied career path, transitioning from traditional software engineering/middleware to data science and deep learning. This demonstrates a willingness to learn and adapt to new domains. The experience across different companies (NVIDIA, msg.ai, FoxType, Barclays, Citi) suggests exposure to various corporate cultures. However, the target role of 'Backend Engineer' might not fully align with the recent deep learning focus, potentially indicating a shift in career interest or a broad skill set. The lack of specific project details for many roles makes it difficult to fully assess collaboration and initiative beyond the technical descriptions.
Soft Skills & Operational Fit
The candidate's resume indicates experience in diverse roles from software engineering to data science, suggesting adaptability. Project descriptions highlight problem-solving and system design, which are crucial for operational fit. However, without specific psychometric or English test results, a detailed assessment of soft skills and operational fit is limited.