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Senior Software Engineer at Google
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Passionate about deep learning, computer vision and its wide spread applications.
Carnegie Mellon University
Master’s Degree, Computer Vision
January 1, 2016 – January 1, 2017
Ramaiah Institute Of Technology
Bachelor of Engineering (B.E.), Computer Science
January 1, 2012 – January 1, 2016
Senior Software Engineer
April 1, 2024 – Present
Software Engineer
September 1, 2021 – August 1, 2024
Software Engineer
March 1, 2019 – August 1, 2021
Orbital Insight
Computer Vision/Deep Learning Engineer
February 1, 2018 – February 1, 2019
Mountain View
Orbital Insight
Computer Vision/Deep Learning Intern
May 1, 2017 – August 1, 2017
Mountain View
Carnegie Mellon University
Graduate Teaching Assistant
January 1, 2017 – May 1, 2017
Flipkart
Software Engineering Intern
January 1, 2016 – May 1, 2016
Bangalore
KuranoMed
Software Developer
June 1, 2015 – July 1, 2015
Singapore
National University of Singapore
Research Intern, Acoustic Research Lab (ARL)
June 1, 2015 – August 1, 2015
Singapore
edX Honor Code Certificate for Introduction to R Programming
edX
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's experience spans large tech companies (Google), specialized AI/CV firms (Orbital Insight), academic research (CMU, NUS), and startups (KuranoMed, Flipkart). This diversity suggests adaptability to various organizational cultures. The focus on Computer Vision and ML aligns directly with the target role, indicating a strong cultural fit for a technically driven environment. The breadth of projects, from medical applications to autonomous systems, shows a versatile and curious mindset.
Soft Skills & Operational Fit
The candidate's resume indicates experience in teaching (TA at CMU) and project leadership (KuranoMed, NUSwan), suggesting good communication and collaboration skills. The descriptions of past roles imply problem-solving and adaptability, especially in challenging environments like autonomous watercrafts. However, without specific psychometric or English test results, a definitive assessment of soft skills and operational fit is limited.