Research @ Nvidia | LLMs, NLP
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Columbia University
Doctor of Philosophy - PhD, Computer Science
January 1, 2020 – January 1, 2023
The University of Texas at Arlington
Master of Science (MS), Computer Science
January 1, 2011 – January 1, 2013
The University of Texas at Arlington
Bachelor of Science (BS), Biology
January 1, 2007 – January 1, 2011
NVIDIA
Senior Research Scientist
October 1, 2024 – Present
California, United States
Answer.ai
Research
June 1, 2024 – October 1, 2024
Amazon
Senior Applied Scientist
May 1, 2023 – June 1, 2024
Columbia University in the City of New York
Graduate Research Assistant
January 1, 2020 – May 1, 2023
Greater New York City Area
Amazon
Senior Applied Scientist
December 1, 2018 – January 1, 2020
Amazon
Machine Learning Scientist
May 1, 2014 – December 1, 2018
PDX, Inc.
Software Development Intern
July 1, 2013 – September 1, 2013
University of Texas at Arlington
Research Assistant
August 1, 2012 – December 1, 2013
Cultural Fit Analysis
The candidate's background in both academia and industry, particularly at large tech companies, indicates adaptability to diverse work environments. The focus on research and advanced technical roles aligns with a culture that values innovation and deep technical expertise. The transition from a Biology background to Computer Science demonstrates intellectual curiosity and a growth mindset.
Soft Skills & Operational Fit
The candidate's extensive experience in research and applied science roles suggests strong problem-solving, analytical thinking, and independent work capabilities. The lack of specific project descriptions or interview data makes it difficult to assess communication, teamwork, and stress handling directly, but the roles typically demand these skills.