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Machine Learning @ 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
Indian Institute of Technology, Kanpur
Master of Technology (MTech), Computer Science
January 1, 2013 – January 1, 2015
RV College Of Engineering
Bachelor of Technology (BTech), Computer Science
January 1, 2009 – January 1, 2013
Machine Learning Engineer
March 1, 2025 – Present
Bengaluru, Karnataka, India
Wayfair
ML Scientist
June 1, 2024 – February 1, 2025
Bengaluru, Karnataka, India
Staff Applied Research Engineer
October 1, 2023 – February 1, 2024
Senior Applied Research Engineer
October 1, 2020 – September 1, 2023
Applied Research Engineer
August 1, 2018 – September 1, 2020
Amelia
Research Engineer(ML & NLP)
November 1, 2016 – July 1, 2018
Bengaluru, Karnataka, India
Amazon
Software Development Engineer
March 1, 2016 – October 1, 2016
Bengaluru, Karnataka, India
iRageCapital Advisory Private Limited
Software Developer - Algorithmic Trading
July 1, 2015 – February 1, 2016
Mumbai Area, India
Cultural Fit Analysis
The candidate has worked at several prominent tech companies (Google, Wayfair, LinkedIn, Amazon) and has a consistent career progression in ML/AI roles. This demonstrates adaptability and a strong alignment with a fast-paced, innovation-driven culture. The diversity of roles from SDE to ML Scientist and Applied Research Engineer suggests a broad interest in different aspects of technology and a willingness to take on varied challenges.
Soft Skills & Operational Fit
The candidate's resume indicates experience in leadership roles (Staff Applied Research Engineer) and working on complex, large-scale projects, suggesting strong problem-solving and collaboration skills. However, without specific project details or behavioral assessments, a definitive evaluation of soft skills and operational fit is limited.