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Applied Research on Generative AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Minnesota
Doctor of Philosophy (PhD), Computer Science (Machine Learning)
N/A – Present
University of Minnesota
Master of Science (MS), Computer Science
N/A – Present
Apple
Research Manager
September 1, 2024 – Present
Cupertino, California, United States · On-site
Meta
Machine Learning Engineer (Tech-Lead)
May 1, 2019 – August 1, 2024
New York City Metropolitan Area · On-site
Apple
Machine Learning Scientist
November 1, 2014 – April 1, 2019
Cupertino, California · On-site
Nuance Communications
Research Scientist (Machine Learning/ Natural Language Understanding)
June 1, 2013 – November 1, 2014
Burlington · On-site
University of Minnesota
Teaching Assistant
January 1, 2013 – July 1, 2013
University of Minnesota
Research Assistant
September 1, 2009 – June 1, 2013
Microsoft
Software Engineer
July 1, 2007 – July 1, 2009
Greater Hyderabad Area
amoghmahapatra.com
April 1, 2023 – Present
A collection of my essays
https://sites.google.com/site/amoghsworld1/
June 1, 2009 – Present
Thesis Research
Self Driving Car Engineer
Udacity
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on cutting-edge ML research and application within large, innovative tech companies. Their academic background and research contributions align well with a culture of continuous learning and innovation. The diversity of projects, from thesis research to applied ML at Meta and Apple, indicates adaptability and a broad interest in the ML domain. However, the personal projects listed are not technically detailed, limiting insight into personal technical initiative outside of employment.
Soft Skills & Operational Fit
The candidate's resume indicates experience in leadership (Tech-Lead, Research Manager) and collaboration (working with social scientists, reviewing research papers), suggesting strong operational fit and soft skills for a senior role. However, without specific assessment data, this is inferred from role descriptions.