Greg Hanneman
Big Data EngineerNLP/MT applied scientist
Self Employed
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
NLP/MT applied scientist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Carnegie Mellon University
Ph.D. (currently ABD), Language technologies
January 1, 2005 – January 1, 2012
Case Western Reserve University
B.S., Computer science
January 1, 2001 – January 1, 2005
Self Employed
Independent NLP contractor
August 1, 2025 – Present
Pittsburgh, Pennsylvania, United States
Amazon
Senior Applied Scientist
December 1, 2021 – May 1, 2024
Amazon
Applied Scientist
June 1, 2015 – December 1, 2021
Safaba Translation Solutions
Software engineer
June 1, 2011 – June 1, 2015
Xerox
Intern, Xerox Research Centre Europe
September 1, 2009 – December 1, 2009
Carnegie Mellon University
Graduate research assistant
August 1, 2005 – August 1, 2012
Rockwell Automation
Summer intern
May 1, 2005 – August 1, 2005
Rockwell Automation
Summer intern
May 1, 2004 – August 1, 2004
Cultural Fit Analysis
The candidate has a strong background in research and applied science, primarily focused on NLP and Machine Translation. While this demonstrates deep technical expertise, their experience is heavily concentrated in a specific domain (NLP/MT) and less explicitly in general big data engineering practices, distributed systems, or data warehousing, which are core to a typical Big Data Engineer role. This specialization might require a cultural shift towards broader data infrastructure and pipeline development. The lack of diverse project types outside of NLP/MT could indicate a narrower scope of interest or experience.
Soft Skills & Operational Fit
The candidate's extensive experience in research and applied science roles suggests strong analytical and problem-solving skills. Their work as an independent contractor and subtask lead indicates initiative and leadership potential. However, the provided data does not offer specific insights into collaboration style, stress handling, or direct operational fit for a Big Data Engineer role beyond their technical background.