Help & Supportcareers@gravityer.com
AI and ML Leader
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I have over 15 years of experience in data science and machine learning. I have worked as a Tech Lead and Engineering Manager at LinkedIn, developing and deploying AI and machine learning solutions for various business and user needs including- job recommendations and search, recruiter search, and trust, safety & responsible AI.
University of Minnesota
Master’s Degree, Computer Science
January 1, 2009 – January 1, 2012
University of Minnesota
Doctor of Philosophy (Ph.D.), Computer Science
January 1, 2009 – January 1, 2016
Indian Institute of Technology, Kanpur
Bachelor’s Degree, Computer Science
January 1, 2005 – January 1, 2009
Senior Engineering Manager, AI and Machine Learning
January 1, 2021 – Present
San Francisco Bay Area
Senior Software Engineer- Data Mining/ Data Analysis/ Machine Learning
January 1, 2018 – January 1, 2021
San Francisco Bay Area
Software Engineer-Data Mining/Data Analysis/Machine Learning
January 1, 2016 – January 1, 2018
San Francisco Bay Area
PARC
Research Intern
June 1, 2013 – August 1, 2013
Palo Alto
University of Minnesota
Graduate Teaching Assistant
September 1, 2012 – December 1, 2012
University of Minnesota
Graduate Research Assistant
January 1, 2009 – August 1, 2016
Cultural Fit Analysis
The candidate's long tenure at a major tech company like LinkedIn indicates an ability to thrive in structured, high-performance environments. The academic background and research experience suggest an inclination towards innovation and continuous learning. The progression from individual contributor to management aligns with growth-oriented cultures. However, without specific project diversity or community involvement, a comprehensive cultural fit assessment is limited.
Soft Skills & Operational Fit
The candidate's progression to Senior Engineering Manager at LinkedIn suggests strong leadership, team collaboration, and strategic thinking skills. The academic background, including a Ph.D., implies strong problem-solving and analytical capabilities. However, without specific project details or behavioral assessment results, a definitive assessment of operational fit and soft skills beyond what's inferred from career progression is limited.