
Director of Artificial Intelligence at PTC
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Drexel University
Ph. D., incomplete, Applied Mathematics
January 1, 2000 – January 1, 2005
Drexel University
Master, Software Engineering
January 1, 1998 – January 1, 2000
Drexel University
Bachelor, Computer Science. Minor in Mathematics
January 1, 1996 – January 1, 1998
Kyiv Engineering Technical Institute
Bachelor, incomplete, Engineering
January 1, 1991 – January 1, 1995
PTC
Manager of Artificial Intelligence
February 1, 2014 – Present
King of Prussia PA
SRI International
Computer Scientist
July 1, 2012 – February 1, 2014
Princeton NJ
NOKIA
Lead Developer
October 1, 2007 – June 1, 2012
Malvern PA
Sarnoff Europe
Team Lead, Senior Developer
September 1, 2005 – October 1, 2007
Princeton, NJ
Drexel University
Software Architect, Lead Developer, Faculty
June 1, 2002 – September 1, 2005
Philadelphia PA
INLEC COMMUNICATIONS
Lead Software and Systems Engineer
July 1, 2000 – June 1, 2002
Philadelphia, PA
CGU INSURANCE Co
Programmer Analyst
March 1, 1998 – July 1, 2000
Philadelphia PA
SELF-EMPLOYED
Computer Consultant
September 1, 1997 – March 1, 1998
Philadelphia, PA
G. A. INSURANCE Co.
Computer Programmer, Co-Op position
March 1, 1997 – September 1, 1997
Philadelphia, PA
Cultural Fit Analysis
The candidate's extensive experience across various industries (telecommunications, defense, insurance, academia) and roles (research, development, management) suggests adaptability. However, the target role is 'Backend Engineer', while the most recent and significant experience is heavily skewed towards AI/ML research and management. While the underlying software engineering skills are present, the direct alignment with a pure backend engineering role, especially in a modern microservices or cloud-native context, is not explicitly detailed. The breadth of skills is high, but the direct relevance to a typical backend engineering cultural fit might require further exploration.
Soft Skills & Operational Fit
The candidate's resume indicates strong leadership, team management, and communication skills through roles like 'Manager of Artificial Intelligence' and 'Lead Developer'. Experience in communicating complex AI/ML concepts and instilling rigorous software engineering discipline suggests a focus on quality and knowledge sharing. The academic background and research roles imply strong problem-solving and analytical capabilities.