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Software Engineer, Applied Researcher, Innovator
Rutgers University
Master of Science (MS), Computer Engineering
January 1, 2003 – January 1, 2005
Delhi University
B.E., Instrumentation and Control
January 1, 1997 – January 1, 2001
Delhi Public School - R. K. Puram
High School, Computer Science
January 1, 1994 – January 1, 1996
Apple
Principal Applied Research Engineer, AMP Search Science
November 1, 2018 – Present
Apple
Principal Software Engineer, Big Data and Applied Machine Learning
February 1, 2015 – November 1, 2018
Apple
Sr. Software Engineer, Apple Online Store
December 1, 2012 – February 1, 2015
Zynga Inc
Sr. Software Engineer
April 1, 2011 – December 1, 2012
San Francisco Bay Area
Yahoo!
Sr. Software Engineer
November 1, 2007 – April 1, 2011
San Francisco Bay Area
OpenTV Inc.
Sr. Software Engineer
November 1, 2006 – October 1, 2007
San Francisco Bay Area
Sapient Corporation
Sr. Associate (Technology)
April 1, 2005 – November 1, 2006
San Francisco Bay Area
Escosoft (Escorts Group)
Sr. Software Engineer
April 1, 2001 – July 1, 2003
New Delhi Area, India
Statistical Inference
Coursera Course Certificates
June 24, 2026 – Present
Reproducible Research
Coursera Course Certificates
June 24, 2026 – Present
Exploratory Data Analysis
Coursera Course Certificates
June 24, 2026 – Present
Getting and Cleaning Data
Coursera Course Certificates
June 24, 2026 – Present
R Programming
Coursera Course Certificates
June 24, 2026 – Present
The Data Scientist’s Toolbox
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory, including multiple roles at Apple and experience across different tech companies (Zynga, Yahoo!), demonstrates adaptability and a capacity to thrive in diverse corporate cultures. The focus on Big Data and Machine Learning aligns well with modern tech environments. The breadth of experience from online store systems to applied research suggests a versatile individual who can contribute to various aspects of a tech organization.
Soft Skills & Operational Fit
The candidate's long tenure in senior and principal roles at large organizations suggests strong leadership, problem-solving, and collaboration skills. The progression through various roles at Apple indicates adaptability and a capacity for taking on increasing responsibility. However, specific details on soft skills are not explicitly provided in the resume descriptions.