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Deep Learning/Machine Learning at AppLovin
OBJECTIVE: A machine learning engineer/AI engineer position in the area of Deep Learning, Machine Learning, and Reinforcement Learning/Large Language Model that will utilize my doctoral education in Computer Science and past research experiences SUMMARY - Experienced in delivering industry applications of deep learning, machine learning, reinforcement learning, and large language model. - Outstanding achievement in advanced research on machine learning and their applications with 10+ published first author journal and conference papers. Specializing in support vector machines, probabilistic graphical models (Bayesian networks and Markov networks), clustering, neural network, decision tree, random forest, Gradient Boosting Machines, feature selection, and model selection. - Expert knowledge on parallel computing and distributed computing: Message Passing Interface (MPI), MapReduce (Hadoop), Hive, and Spark. - Exceptional experiences with Python, C/C++, Java, Scala, and R.
The University of Kansas
PHD, Computer Science
January 1, 2005 – January 1, 2011
Xi'an Jiaotong University
Master of Engineering (M.Eng.), Automotive Engineering
January 1, 1999 – January 1, 2002
Xi'an Jiaotong University
Bachelor's degree, Automotive Engineering
January 1, 1994 – January 1, 1998
Weee!
Senior Machine Learning Engineer
November 1, 2023 – Present
Fremont, California, United States · On-site
AppLovin
Senior Machine Learning Engineer
December 1, 2019 – October 1, 2023
Palo Alto, CA · Remote
eBay
Data Scientist/Machine Learning Engineer/Applied Researcher
January 1, 2018 – November 1, 2019
San Jose
Parallel Machines
Senior Data Scientist/Machine Learning Engineer
June 1, 2016 – November 1, 2017
Sunnyvale
Intertrust Technologies Corporation
Principal Machine Learning Data Scientist
August 1, 2013 – October 1, 2015
Sunnyvale
Boston University
Research Associate
February 1, 2012 – March 1, 2013
Boston
University of Kansas
Research Assistant
August 1, 2005 – August 1, 2011
Xi'an Jiaotong University
Lecturer
February 1, 2004 – July 1, 2004
Xi'an Jiaotong University
Teaching Assistant
September 1, 2002 – July 1, 2003
Cultural Fit Analysis
The candidate has a long and diverse career path across various companies and research institutions, indicating adaptability. However, the descriptions are very technical and do not offer insights into cultural alignment, preferred work environment, or team interaction styles. The candidate's extensive academic and research background suggests a strong inclination towards problem-solving and innovation, which could be a good fit for a research-oriented or technically challenging environment. Lack of project details makes it hard to assess diversity of contributions beyond core ML engineering.
Soft Skills & Operational Fit
The candidate's resume primarily highlights technical achievements and roles. Information regarding soft skills such as teamwork, leadership, problem-solving approach, and adaptability is not explicitly provided. Operational fit cannot be fully assessed without more data on work style and collaboration experience.