Longxing Tan is a Senior Machine Learning Developer with 8 years of experience building production-ready ML systems across automotive and security domains, now at Fortinet after leading algorithms at Teletraan. He specializes in end-to-end ML workflows—time series, NLP/LLMs, and recommender systems—and has practical experience improving model definitions, training pipelines, and evaluation in open-source TensorFlow time-series projects. Based in Burnaby, Canada, he combines research-oriented skills from a Beihang University master’s with hands-on engineering roles at Mercedes-Benz Group China, where he progressed from quality engineering to data science leadership. An enthusiastic competitor in data challenges and active contributor to example code and documentation, he blends reproducible experimentation with pragmatic deployment focus.
8 years of coding experience
5 years of employment as a software developer
Master's degree, Master's degree at Beihang University
tfts: Time Series Deep Learning Models in TensorFlow
Role in this project:
ML Engineer
Contributions:16 releases, 50 commits, 69 PRs in 2 years 8 months
Contributions summary:Longxing contributed to the documentation and example code. They updated the model and train process, adding changes to the model definition and training scripts. The commits also included changes to the test files related to the time series models, indicating a focus on model training and evaluation.
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Longxing Tan - Senior Machine Learning Developer at Fortinet