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AI Research Engineer, IBM Research
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Mila - Quebec Artificial Intelligence Institute
Doctor of Philosophy - PhD, Computer Science
August 1, 2020 – December 1, 2025
Cornell University
Bachelors, Majored in Applied and Engineering Physics, Minored in Operations Research and Management Sciences
January 1, 2008 – January 1, 2012
IBM
AI Research Engineer, IBM Research
September 1, 2015 – Present
IBM Watson Research Center, Yorktown Heights, New York
IBM - Analytics and IoT
Big Data Architect
June 1, 2015 – August 1, 2015
New York City Metropolitan Area
IBM
Senior Consultant and Big Data Developer
October 1, 2013 – May 1, 2015
IBM
Technology Specialist Consultant
August 1, 2012 – October 1, 2013
QD Vision, Inc.
Summer Employee Engineering and Business (Kessler Fellowship)
May 1, 2011 – August 1, 2011
Watertown, MA
IBM T.J. Watson Research Center
Junior Research Scientist
September 1, 2010 – March 1, 2011
IBM T.J. Watson Research Center
Visiting Junior Research Scientist
May 1, 2010 – August 1, 2010
New York University
Researcher (National Science Foundation MRSEC REU Grant)
May 1, 2009 – August 1, 2009
New York City Metropolitan Area
Apache Spark Technology Expert
IBM - Analytics and IoT
June 24, 2026 – Present
IBM Certified Big Data Engineer
IBM
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily focused on research and enterprise consulting within IBM, with a strong academic pursuit in AI. While this demonstrates a deep technical focus, the lack of diverse industry experience or project details outside of IBM makes it difficult to fully assess cultural fit for roles requiring broader industry exposure or startup agility. The target role of 'Data Analyst' might be a step down from their 'AI Research Engineer' or 'Big Data Architect' roles, potentially indicating a shift in career focus or a desire for a more analytical, less architectural/research-heavy role.
Soft Skills & Operational Fit
The candidate's extensive experience in consulting and research roles at IBM suggests strong problem-solving, analytical thinking, and potentially good communication skills, although direct evidence of soft skills is limited in the provided data. The long tenure at IBM indicates stability and adaptability within a large corporate environment.