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Software Engineer at Google
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced senior software engineer with machine learning expertise. Graduate from Carnegie Mellon University with master degree in AI. I'm passionate to apply machine learning technologies to improve production quality and has been working on improving Ads quality in google for 5+ years.
Udacity
Deep Learning NanoDegree
January 1, 2020 – January 1, 2020
Carnegie Mellon University
Master's degree, Computer Science (Machine Learning)
January 1, 2015 – Present
Tsinghua University
Bachelor of Engineering (B.E.), Electrical Engineering
January 1, 2012 – Present
Software Engineer
November 1, 2016 – Present
mountain view
Particle Media, Inc.
Machine Learning Scientist
September 1, 2015 – October 1, 2016
Santa Clara
Carnegie Mellon University
Teaching Assistant
September 1, 2014 – May 1, 2015
Carnegie Mellon University
Research Assistant
September 1, 2012 – July 1, 2015
Microsoft
Research Intern
February 1, 2012 – July 1, 2012
Beijing City, China
Cultural Fit Analysis
The candidate's diverse experience across large tech companies (Google, Microsoft), a startup (Particle Media), and academic research (CMU) indicates adaptability to various organizational cultures. Their involvement in projects with significant business impact (e.g., revenue growth, CPU usage reduction) suggests a results-oriented mindset. The academic background and continuous learning (Udacity NanoDegree) show a commitment to staying current with technology.
Soft Skills & Operational Fit
The candidate demonstrates leadership through leading cross-team efforts and mentoring. Experience in early-stage startup (Particle Media) suggests adaptability and ability to work in dynamic environments. The description of projects at Google indicates strong problem-solving and impact-driven work.