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Primary Patent Examiner (Artificial Intelligence and Machine Learning) at USPTO
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Boston College Law School
JD, Law
January 1, 2005 – January 1, 2008
Colorado School of Mines
BSc, Mathematical and Computer Sciences
January 1, 2002 – January 1, 2005
United States Patent and Trademark Office
Patent Examiner GS-14 Trainer (Detail)
October 1, 2019 – September 1, 2020
United States Patent and Trademark Office
Outreach Advisor (Detail)
April 1, 2018 – January 1, 2019
United States Patent and Trademark Office
Law Clerk, Patent Trial and Appeal Board (Detail)
January 1, 2014 – May 1, 2014
United States Patent and Trademark Office
Patent Examiner (Artificial Intelligence and Machine Learning)
April 1, 2009 – Present
Cultural Fit Analysis
The candidate's career has been primarily within the United States Patent and Trademark Office, indicating a strong fit for structured, regulatory, and government-oriented environments. The target role of 'Vocational Training in Artificial Intelligence and Machine Learning' aligns with their experience in training and their subject matter expertise in AI/ML from a patent perspective. However, the lack of diverse industry experience or direct hands-on AI/ML project work outside of patent examination might require adaptation to a more dynamic, development-focused culture.
Soft Skills & Operational Fit
The candidate demonstrates strong communication skills through outreach and training roles. Experience as a Patent Examiner and Trainer suggests attention to detail, analytical thinking, and the ability to work within structured processes. The role as an Outreach Advisor indicates proactivity and stakeholder engagement. However, direct operational experience in AI/ML development or engineering roles is not evident.