Principal ML Engineer @ Upwork | Ex-Apple, Evidently | NLP, Search & Recommendations
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, Madras
Master's degree, Bachelor's degree, Computer Science and Engineering
January 1, 2011 – January 1, 2016
Upwork
Principal ML Engineer
November 1, 2024 – Present
Palo Alto, California, United States · Hybrid
Objective, Inc. (acquired by Upwork)
Machine Learning Engineer
July 1, 2024 – November 1, 2024
San Francisco, California, United States · Hybrid
Evidently
Founding Machine Learning Engineer
October 1, 2021 – July 1, 2024
Palo Alto, California, United States
Apple
Machine Learning Manager
May 1, 2021 – October 1, 2021
Apple
Siri Machine Learning Engineer
October 1, 2018 – May 1, 2021
Apple
NLP and Machine Learning Engineer
October 1, 2016 – October 1, 2018
Apple
Software Engineering Intern
May 1, 2015 – July 1, 2015
Cupertino, California
Software Engineering Intern
May 1, 2014 – July 1, 2014
Bengaluru Area, India
Software Engineering Intern
May 1, 2013 – July 1, 2013
Hyderabad Area, India
Cultural Fit Analysis
The candidate has a strong background in Machine Learning and NLP, with significant experience at large corporations (Apple, Google) and startups (Evidently, Objective, Inc.). While the target role is 'Backend Engineer', the candidate's experience is heavily skewed towards ML/NLP. This might indicate a potential mismatch in core domain expertise for a pure backend role, though ML engineers often possess strong backend development skills. The diversity of company types (large tech vs. startup) suggests adaptability.
Soft Skills & Operational Fit
The candidate's resume indicates experience in leadership and founding roles, suggesting strong initiative, problem-solving, and potentially good communication and collaboration skills. However, without specific assessment data or project descriptions, a definitive evaluation of soft skills and operational fit is limited.