Principal Research Engineer at Lithium Technologies
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Assessing your cultural and operational fit
Data scientist and algorithm engineer with extensive experiences in large scale data analytics and personalized merchandise.
The Ohio State University
Ph.D, Biophysics
January 1, 1999 – January 1, 2006
Nanjing University
M.S, Physics
January 1, 1996 – January 1, 1999
Nanjing University
B.S, Physics
January 1, 1992 – January 1, 1996
Lithium Technologies
Principal Research Engineer
June 1, 2016 – Present
San Francisco
Attune Inc.
Senior Data Scientist and Machine Learning Engineer
May 1, 2013 – Present
Mountain View
Bonobos
Sr. Software Engineer, Personalization and Merchandising
October 1, 2012 – April 1, 2013
Palo Alto
DNAnexus
Senior Software Engineer
October 1, 2011 – October 1, 2012
AOL
Technical Manager for Software Development
November 1, 2009 – October 1, 2011
AOL
Senior Software Engineer
June 1, 2007 – October 1, 2009
SMobile Systems
Research Scientist
April 1, 2006 – May 1, 2007
The Ohio State University, Department of Computer Science and Engineering
Research Associate
September 1, 2000 – March 1, 2006
Cultural Fit Analysis
The candidate has a diverse background spanning research, startups, and larger tech companies (AOL, Lithium Technologies). Their roles have consistently involved innovation, data-driven product development, and leading technical initiatives. This suggests a fit for dynamic environments that value technical depth and proactive problem-solving. However, the most recent role listed is 'Principal Research Engineer' ending in 2016, and the target role is 'Big Data Engineer'. While there's significant overlap in data processing and ML, direct 'Big Data Engineering' specific roles (e.g., extensive work with modern distributed systems like Spark, Kafka, Hadoop ecosystems) are not explicitly detailed in the recent experience, which might indicate a gap in direct alignment with the latest big data technologies.
Soft Skills & Operational Fit
The candidate's experience as a Technical Manager and Principal Research Engineer suggests strong leadership, problem-solving, and research-oriented skills. The descriptions of building platforms and leading teams indicate an ability to drive projects from conception to deployment. The focus on optimizing performance and evaluating models points to a data-driven and results-oriented approach.