
Director of Applied Science at Amazon AGI
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Expert in speech recognition and natural language processing fields with 20 years of academic and industry R&D experience. Technology and process leadership in building and leading high performance research and engineering teams in start-up and multinational companies. Track record in successfully delivering high quality audio, speech and NLP solutions for intelligent interfaces.
Massachusetts Institute of Technology
PhD, Electrical Engineering and Computer Science
January 1, 1995 – January 1, 2001
Tsinghua University
Bachelor's, Biomedical Engineering
January 1, 1989 – January 1, 1994
Amazon
Director of Applied Science
October 1, 2023 – Present
Amazon
Sr. Manager, Alexa Speech
April 1, 2018 – October 1, 2023
Amazon
Machine Learning
August 1, 2016 – March 1, 2018
Nuance Communications
Senior Director, R&D - NLP Research
June 1, 2015 – August 1, 2016
Cambridge, MA
Nuance Communications
Director, R&D - NLP Research
June 1, 2013 – June 1, 2015
Cambridge, MA
Nuance Communications
Sr. Manager, R&D - NLP Research
June 1, 2012 – June 1, 2013
Cambridge, MA
Vlingo
Manager of Speech Technologies/Principal Speech Scientist
January 1, 2011 – June 1, 2012
Vlingo
Principal Speech Scientist
October 1, 2007 – June 1, 2012
MIT
Research Scientist
June 1, 2001 – November 1, 2007
Cultural Fit Analysis
The candidate has a consistent career trajectory within large, innovation-driven technology companies, indicating a fit for fast-paced, research-intensive environments. The breadth of experience across different aspects of AI (speech, NLP, ML) and various application domains (virtual assistants, human-computer interaction) suggests adaptability and a broad technical interest. The long tenure at Amazon and Nuance indicates loyalty and the ability to grow within an organization. The target role of 'Data Analyst' is a significant shift from their senior leadership roles in Applied Science/ML/NLP, which might indicate a desire for a more hands-on, analytical role or a potential mismatch in expectations regarding the scope and seniority of the Data Analyst position.
Soft Skills & Operational Fit
The candidate's career progression from Research Scientist to Director-level roles at major tech companies suggests strong leadership, strategic thinking, and the ability to drive complex R&D initiatives. The focus on data-driven solutions indicates an analytical and results-oriented approach. However, without specific project details or direct communication samples, it's difficult to fully assess collaboration, stress handling, or detailed work attitude.