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Kexin Nie's email & phone number

To the moon and back.

Kexin Nie's Email Addresses & Phone Numbers

Kexin Nie's Work Experience

LinkedIn

Senior Software Engineer - Machine Learning

Kexin Nie's Education

Stanford University

Master of Science (M.S.), Statistics

Zhejiang University

Bachelor of Science (BS), Mathematics and Statistics

Kexin Nie's Professional Skills Radar Chart

Based on our findings, Kexin Nie is ...

Expedient
Ambitious
Deep

What's on Kexin Nie's mind?

Based on our findings, Kexin Nie is ...

52% Left Brained
48% Right Brained

Kexin Nie's Estimated Salary Range

About Kexin Nie's Current Company

LinkedIn

Frequently Asked Questions about Kexin Nie

What company does Kexin Nie work for?

Kexin Nie works for LinkedIn


What is Kexin Nie's role at LinkedIn?

Kexin Nie is Senior Software Engineer - Machine Learning


What is Kexin Nie's personal email address?

Kexin Nie's personal email address is c****[email protected]


What is Kexin Nie's business email address?

Kexin Nie's business email address is [email protected]***.***


What is Kexin Nie's Phone Number?

Kexin Nie's phone (**) *** *** 518


What industry does Kexin Nie work in?

Kexin Nie works in the Computer Software industry.


About Kexin Nie

💼 Past Experience

Kexin Nie is currently a Research Assistant at UCLA from July 2012 to September 2012 (3 months) in Greater Los Angeles Area. Undergraduate researcher at the Department of Statistics. Graduate Teaching Assistant at Stanford University from December 2013 to February 2014 (3 months). Stats 216 Statistical Learning, homework grader, piazza Q&A. Data Scientist at IBM from August 2015 to December 2016 (1 year 5 months) in San Francisco Bay Area. Built up machine learning solutions for B2B products. Designed and launched recommender systems to optimize over business goals upon websites' promotion zones. Handled the large scale user activities data using distributed computing solutions. Data Scientist Intern at Shazam from June 2014 to September 2014 (4 months) in Menlo Park, CA. Predicted "top hits" based on users' in-app activities. Developed tools to scrape internet metadata to gather auxiliary information. Built up ensemble models which take in multi-inputs from different spaces. The final model's prediction accuracy was as high as 80% comparing with ground truth (Billboard ranks).Staff Software Engineer - Machine Learning at LinkedIn in Mountain View, California, United States. Senior Software Engineer - Machine Learning at LinkedIn from February 2018 to July 2020 (2 years 6 months) in Mountain View. A. Leading the effort to monitor AI models' healthiness across LinkedIn verticals - Proposed key metrics to reflect model performance degradations and feature distributions drifts- Provided anomaly detection algorithms over 10k+ metrics for model issues' discovery; Provided feature issues ranker to automatically diagnose root causes; - Launched the model monitoring tool to 5+ LinkedIn verticals including Feed, People You May Know and etc.B. Performing as the key contributor of anomaly detection algorithms for LinkedIn's monitoring service (ThirdEye https://github.com/apache/incubator-pinot/tree/master/thirdeye)- Designed and launched deep models (Autoencoders, Variational Autoencoders, and etc.) for real-time anomaly detection- Designed and launched statistical algorithms to detect metrics' short-term spikes and long-term trend shifts.


🎓 Education

Kexin Nie has a Master of Science (M.S.) in Statistics from Stanford University and a Bachelor of Science (BS) in Mathematics and Statistics from Zhejiang University.In his past education, Kexin Nie has worked with a variety of different numbers and data analysis software and also has experience in operational research and life learning research. He has also taught in undergraduate courses at Stanford University and Zhejiang University, respectively.Kexin Nie is currently a research associate at the Chinese Academy of Governance and Policy.Prior to this he was a research instructor at the Department of Mathematical and Statistical Sciences at Zhejiang University.


💡 Technical & Interpersonal Skills

Kexin Nie has over 10 years of experience in the field of data science and machine learning. She is currently a Research Assistant at UCLA from July 2012 to September 2012 (3 months) in Greater Los Angeles Area, where she worked on research projects focused on machine learning and data analysis. She also worked as a Teaching Assistant at Stanford University from December 2013 to February 2014 (3 months), and as a Stats 216 Statistical Learning, homework grader, piazza Q&A. data scientist at IBM from August 2015 to December 2016 (1 year 5 months) in San Francisco Bay Area, where she designed andlaunched recommender systems to optimize over business goals upon websites' promotion zones. She has also handled the large scale user activities data using distributed computing solutions and data scraping. In addition, she is also a senior software engineer at LinkedIn, where she is responsible for developing various machine learning algorithms and working on the development of LinkedIn's monitoring service, ThirdEye.


Kexin Nie’s Personal Email Address, Business Email, and Phone Number

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In a nutshell

Kexin Nie's Personality Type

Introversion (I), Sensing (S), Thinking (T), Perceiving (P)

Average Tenure

2 year(s), 0 month(s)

Kexin Nie's Willingness to Change Jobs

Unlikely

Likely

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Kexin Nie's Social Media Links

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