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Staff Software Engineer, Tech Lead Manager 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
My interests are in and machine learning and optimization. I enjoy generating features, building models, and applying machine learning and optimization strategies to solving interesting and complex data-driven problems, such as outlier detection, response prediction, recommendations and so on.
Duke University
Doctor of Philosophy (PhD)
January 1, 2011 – January 1, 2014
The Hong Kong University of Science and Technology
Exchange student
N/A – Present
Xi'an Jiaotong University
Bachelor's degree, Electrical, Electronics and Communications Engineering
N/A – Present
Staff Software Engineer, Tech Lead Manager
May 1, 2021 – Present
Mountain View, California, United States
Staff Software Engineer/Tech Lead - Machine Learning
September 1, 2016 – May 1, 2021
Mountain View
PayPal
Lead Data Scientist
March 1, 2014 – September 1, 2016
san jose
Hewlett-Packard Laboratories
Research Associate
August 1, 2013 – October 1, 2013
San Francisco Bay Area
Aspera, Inc.
Data Analytics Engineer
January 1, 2013 – July 1, 2013
Hewlett-Packard Laboratories
Research Associate
May 1, 2012 – August 1, 2012
Palo alto, CA
Unconscious Bias
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has worked at several large, well-known tech companies (Google, LinkedIn, PayPal), indicating an ability to thrive in structured, high-performance environments. The progression from Lead Data Scientist to Staff Software Engineer/Tech Lead Manager shows adaptability and growth into leadership roles. However, the target role is 'Data Analyst', which is a significant step down from a Staff Software Engineer/Tech Lead Manager role. This discrepancy raises questions about long-term fit and motivation for a less senior, more individual contributor-focused role, potentially indicating a mismatch in career trajectory or expectations. The project diversity is strong within data science and machine learning, but the target role alignment is weak.
Soft Skills & Operational Fit
The candidate's experience as a Tech Lead Manager at Google and Staff Software Engineer/Tech Lead at LinkedIn suggests strong leadership, project management, and team collaboration skills. The detailed descriptions of optimizing job quality and marketplace components indicate a results-oriented approach and ability to handle complex, multi-objective problems. The 'Unconscious Bias' certification, while not directly technical, suggests an awareness of workplace diversity and inclusion.