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Staff Software Engineer Machine Learning @ Linkedin
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Wisconsin-Madison
Master's Degree, Computer Science
January 1, 2012 – January 1, 2014
University of Wisconsin-Madison
Master's Degree, Operations Research
January 1, 2012 – January 1, 2014
National Institute of Technology Karnataka
Bachelor of Engineering, Electronics & Communication
January 1, 2002 – January 1, 2006
Staff Software Engineer Machine Learning
April 1, 2017 – Present
Bangalore
Snapdeal
Senior Data Scientist Multimedia Research
April 1, 2015 – March 1, 2017
University of Wisconsin-Madison
Graduate Assistant
January 1, 2013 – December 1, 2014
Madison, Wisconsin Area
KBACE Technologies
Senior Consultant
March 1, 2010 – June 1, 2012
Oracle
Staff Consultant
July 1, 2006 – March 1, 2010
Cultural Fit Analysis
The candidate has a diverse background spanning consulting, data science, and machine learning engineering. While the target role is 'Backend Engineer', the recent experience is heavily skewed towards Machine Learning. This might indicate a potential mismatch in direct backend engineering focus, but the foundational software engineering experience is present. The lack of project details makes it difficult to assess alignment with specific company culture or project diversity.
Soft Skills & Operational Fit
The candidate's extensive experience in various roles and companies suggests adaptability and a strong work ethic. However, without psychometric test results or interview data, specific soft skills and operational fit cannot be fully assessed.