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Vice President, Cognex | Ex-Amazon/Alexa AI
AI/ML Product and Technology leader with 2 decades of experience working on consumer and enterprise applications of Automatic Speech Recognition/Natural Language Understanding/Machine Translation/Computer Vision. Strong track record of leading large cross-functional teams to transition R&D initiatives into commercially successful and scalable technology solutions. Author of 30+ research papers and patents. Unique blend of research, engineering and product management experience. Member of the early incubation team that launched the Amazon Echo/Alexa. Specialties: AI, ML, Speech Recognition, Natural Language Processing, Computer Vision, Machine Translation, General Management, Product Management, Product Strategy, Program Execution
Carnegie Mellon University
M.S., Computer Science
January 1, 2003 – January 1, 2005
National Institute of Technology Karnataka
B.E., Electronics and Communication
January 1, 1999 – January 1, 2003
Cognex Corporation
Vice President, Product Engineering
January 1, 2025 – Present
Cognex Corporation
Senior Director, AI Technology
May 1, 2023 – January 1, 2025
Elemental Cognition
Vice President, AI Platform Solutions, Elemental Cognition
June 1, 2021 – April 1, 2023
Greater Boston
Amazon
Sr. Manager, Research Science, Head of Alexa Translations
December 1, 2019 – May 1, 2021
Amazon
Sr. Manager, Strategic Initiatives, Technical Product & Program Management, Alexa AI
June 1, 2013 – December 1, 2019
Raytheon BBN Technologies
Scientist
September 1, 2009 – May 1, 2013
Raytheon BBN Technologies
Staff Scientist
October 1, 2005 – September 1, 2009
Carnegie Mellon University
Research Assistant
August 1, 2003 – August 1, 2005
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on AI, ML, and Computer Vision, with significant experience in both research and productization. While the target role is 'Backend Engineer', their background is heavily skewed towards AI/ML leadership and research. This might indicate a potential mismatch if the 'Backend Engineer' role is purely infrastructure-focused without significant AI/ML system integration. Their diverse experience across large corporations and R&D environments suggests adaptability, but the specific alignment with a general backend engineering role needs further validation.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles at major tech companies like Amazon and Cognex suggests strong leadership, strategic thinking, and cross-functional collaboration skills. Their descriptions highlight managing multi-disciplinary teams and driving complex initiatives, indicating a high operational fit for senior roles requiring strategic oversight and execution.