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Senior Software Engineer @ Microsoft CoreAI | Ex-Amazon | MBA Candidate at Berkeley Haas
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Currently working Microsoft AI team as software engineer. Worked at Amazon translate team, Amazon Alexa, especially focus on speech recognition for the past 3 years. Have a deep insight into the Artificial Intelligent (AI) area. Passionate and skilled software engineer specializing in speech recognition(ASR), machine translation(MT), data retrieval, data mining, ranking and recommendation system, and NLP technologies. 10 years of programming experience and 5 years of professional hands-on software development experience.
University of California, Berkeley
Master of Business Administration - MBA, Business Administration and Management, General
January 1, 2024 – January 1, 2027
New York Institute of Technology
Bachelor of Science - BS, Computer Science
N/A – Present
Iowa State University
Master of Science (M.S.), Computer Science
N/A – Present
Nanjing University of Posts and Telecommunications
Bachelor of Engineering - BE, Computer Science
N/A – Present
Microsoft
Senior Software Engineer - Azure AI/Microsoft CoreAI
June 1, 2020 – Present
Seattle, Washington, United States
Amazon Web Services (AWS)
Software Development Engineer II - Amazon Translate
August 1, 2019 – June 1, 2020
Greater Seattle Area
Amazon
Software Development Engineer II - Alexa Speech
October 1, 2017 – August 1, 2019
Amazon
Software Development Engineer - Alexa Engine
September 1, 2016 – October 1, 2017
Suning Commerce R&D Center USA, Inc.
Software Engineer
January 1, 2015 – September 1, 2016
San Francisco Bay Area
Iowa State University
Teaching Assistant
January 1, 2014 – January 1, 2015
Ames, IA
China Telecom Americas
Software Engineer Intern
June 1, 2012 – August 1, 2012
Greater Nanjing Area
Cultural Fit Analysis
The candidate has a strong background working at large, innovative tech companies (Microsoft, Amazon, AWS), which suggests adaptability to fast-paced, high-performance environments. Their involvement in diverse projects from machine translation to speech recognition and e-commerce search indicates a broad technical interest and ability to pivot between different problem domains. The ongoing MBA suggests a drive for continuous learning and potential interest in product or management roles in the future, which could align with growth opportunities within a company.
Soft Skills & Operational Fit
The candidate's experience as a tech lead at Microsoft and leading a small team at Amazon suggests strong leadership, project management, and collaboration skills. Their work on ASR performance tracking systems indicates an analytical and problem-solving mindset. The description of pioneering new data sources and algorithms for underserved languages highlights initiative and a commitment to improving services.