Liu Liu
Data AnalystSr. MLE @Apple
Apple
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Sr. MLE @Apple
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 research interests are machine learning/computer vision for large scale visual content and autonomous driving. ★PER ASPERA AD ASTRA
University of Tennessee, Knoxville
Master’s Degree, Computer Engineering
January 1, 2012 – January 1, 2014
University of Tennessee, Knoxville
Doctor of Philosophy (PhD), Computer Engineering
January 1, 2012 – January 1, 2018
The Ohio State University
Doctor of Philosophy (PhD), Computer Engineering
January 1, 2011 – January 1, 2012
Southeast University
Bachelor's degree, Information Technology
January 1, 2006 – January 1, 2010
Apple
Sr. ML Engineer
March 1, 2022 – Present
Apple
Machine Learning Engineer
April 1, 2019 – March 1, 2022
Samsung Semiconductor, Inc.
Sr. Machine Learning Engineer
March 1, 2018 – March 1, 2019
San Jose, California
Toyota InfoTechnology Center, U.S.A., INC.
Research Intern
October 1, 2017 – December 1, 2017
Mountain View, California
Oak Ridge National Laboratory
Reseach Intern
June 1, 2017 – August 1, 2017
Oak Ridge, Tennessee
University of Tennessee
ADAS Team Leader
December 1, 2016 – May 1, 2017
University of Tennessee
Graduate Research Assistant
June 1, 2012 – February 1, 2018
The Ohio State University
Graduate Research Assistant
September 1, 2011 – March 1, 2012
Mining Massive Datasets
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in research and development, primarily in ML/AI engineering roles at large tech companies (Apple, Samsung) and research institutions. While the technical skills are strong, the target role of 'Data Analyst' is a slight pivot from their core ML Engineering focus. The project diversity is strong within ML/AI, but less so in traditional business intelligence or broader data analysis contexts. This suggests a potential need to adapt to a more business-centric data analysis environment.
Soft Skills & Operational Fit
The candidate's experience as an ADAS Team Leader suggests leadership and project management skills. Research roles indicate strong problem-solving and analytical capabilities. However, specific details on collaboration, communication, and adaptability in a corporate data analyst setting are not explicitly provided.