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Software engineer at Google
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Georgia Institute of Technology
Master's degree, Computer Science
January 1, 2014 – January 1, 2016
Arizona State University
Master of Science (M.S.)
January 1, 2008 – January 1, 2011
Zhejiang University
Bachelor of Science (B.S.)
January 1, 2002 – January 1, 2006
Senior Software Engineer
July 1, 2025 – Present
Sr Software Engineer
June 1, 2022 – June 1, 2025
Waymo
Senior Software Engineer
May 1, 2020 – July 1, 2022
Software Engineer
August 1, 2017 – May 1, 2020
San Francisco Bay Area
ClearSlide
Software Engineer(machine learning/infrastructure)
June 1, 2015 – August 1, 2017
San Francisco Bay Area
Proximiant
Software Development Engineer(backend/data/machine learning)
February 1, 2014 – June 1, 2015
San Francisco Bay Area
SMILE Lab@Northeastern University
joint research paticipator
October 1, 2013 – February 1, 2014
GLOBALFOUNDRIES
Sr. technology development engineer
August 1, 2011 – August 1, 2013
Malta, NY
LEAN and Six-sigma green belt
Globalfoundries
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a consistent focus on Machine Learning and data-intensive roles across various companies, including startups and major tech giants. This demonstrates adaptability and a broad understanding of different operational scales. The progression from Software Engineer to Senior Software Engineer at Google and Waymo suggests a strong work ethic and ability to grow within an organization. The diverse experience in ML applications (ads, YouTube, autonomous driving, predictive analytics, NLP) indicates a broad interest and ability to contribute to various ML domains, aligning well with a dynamic ML engineering culture. The multiple master's degrees also suggest a commitment to continuous learning.
Soft Skills & Operational Fit
The candidate's resume highlights roles in large, complex organizations like Google and Waymo, suggesting experience in collaborative environments and handling significant technical challenges. The description of building a 'first predictive analytics data pipeline for production' and 'Kafka cluster' at ClearSlide indicates strong operational and system design capabilities. However, without specific project details or behavioral assessment data, a comprehensive evaluation of soft skills and operational fit is limited.