Yuan Tang
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Georgia Institute of Technology Aug 2019 - current
Master of Science in Computer Science
Schreyer Honors College at Pennsylvania State University Aug 2012 - May 2015
Bachelor of Science in Mathematics with Honors [thesis]
Work Experience
Principal Software Engineer Dec 2023 - current
- Serving as one of the ten staff engineers and architects in the technical leadership team, responsible for decision making and product alignment across the organization of 150+ engineers;
- Building scalable model serving platform for OpenShift AI and maintaining KServe;
- Representing Red Hat as a member of Kubeflow Steering Committee and co-chair of Kubernetes WG Serving;
- Mentoring team members and establishing partnerships and collaborations with external organizations and communities.
Founding Engineer Sep 2021 - Nov 2023
- First engineer in the company: bootstrapped engineering infrastructure; involved in early sales/marketing initiatives; interviewed and recruited most of our engineers;
- Led the development of Argo Workflows, maintained Argo CD, and provided enterprise support and architectural reviews for our customers;
- Led our AI Assistant Extension to help developers quickly analyze any issues with the managed Kubernetes resources and applications;
- Designed and implemented major components of the Akuity Platform, an enterprise-ready and fully-managed DevOps platform that is scalable, reliable, and secure;
- Led the efforts to successful compliance certification and hardened our engineering operation and security best practices;
Senior Software Engineer / Tech Lead June 2018 - Aug 2021
- Built AI infrastructure and AutoML platform on Kubernetes; served as the co-chair of Kubeflow and led the development of various distributed training operators;
- Designed and implemented major components of ElasticDL to support fault-tolerance and elastic scheduling for deep learning workloads; co-inventor of the patent for the underlying system and method for distributed task execution; integrated with SQLFlow to enable machine learning with extended SQL dialect;
- Led the design and development of Couler and Argo Workflows to provide scalable cloud-native workflow orchestration for data science teams.
Senior AI Platform Engineer Dec 2017 - May 2018
- Contributed to the open source machine learning platform H2O;
- Built the model management component of Driverless AI that automates the end-to-end data science workflows.
Data Science Lead Sep 2015 - Nov 2017
- Led a team that built our scalable data science platform to monitor the condition of industry assets such as trains, airplanes, and wind turbines to avoid machine failures and reduce downtime;
- Built intelligent monitoring platform from the ground up to automatically monitor internal microservices in real-time at scale and was the lead inventor of the patent for the underlying anomaly detection algorithm;
- Led all the open source initiatives within data science team.
Selected Services
Open Source Community Leadership 2019 - current
- Co-Chair, Kubernetes WG Serving, 2024 - current
- Project Lead, Argo, 2021 - current
- Project Lead and Steering Committee Member, Kubeflow, 2020 - current
- PMC and Committer, XGBoost, 2020 - current
- PMC and Committer, Apache MXNet, 2017 - 2023
Conferences and Journals 2018 - current
- Program Chair of Cloud Native + Kubernetes AI Day; Program Committee Member of KubeCon North America & China AI/ML Track, 2024
- Program Chair of Cloud Native AI Day; Program Committee Member of KubeCon Europe, 2024
- Program Chair of Data on Kubernetes Day at KubeCon North America, 2023
- Editor of Journal of Open Source Software, 2018 - 2022
- Insight Partner on AI Technology of Synced Review, 2019
Technical Advisor 2019 - current
- Metabit Trading, cloud-native infrastructure
- NascentCore, machine learning infrastructure
- Chaintool, distributed graph database and machine learning systems [project]
- TensorChord, reproducible development environment [project]
- Moises, machine learning infrastructure
- Eviden, machine learning, data visualization, and open source strategy [project]
- AngelList, technical steering and open source strategy
Mentor at Google Summer of Code [link] 2016 - current
- Kubeflow, 2024 [project]
- Argo, 2022 [project]
- Kubeflow, 2020 [project] [certificate]
- TensorFlow, 2019 [project] [certificate]
- R Project for Statistical Computing, 2016 [project] [certificate]
Selected Projects [full list]
Kubeflow [link] Project Lead & Steering Committee Member
Machine learning toolkits on Kubernetes
Argo [link] Project Lead
- Project lead of Argo Workflows, the container-native workflow engine
- Maintainer of Argo CD, and declarative continuous delivery tools for Kubernetes
TensorFlow [link] Author & Maintainer
- End-to-end open source platform for machine learning. Co-author of TensorFlow Estimators and maintainer of TensorFlow I/O
- Co-author of TensorFlow in R
XGBoost [link] Maintainer & PMC
General-purpose gradient boosting library
KServe [link] Maintainer
Standardized serverless ML inference platform on Kubernetes
ElasticDL [link] Maintainer
Kubernetes-native deep learning framework with fault-tolerance and elastic scheduling
reticulate [link] Co-author
R interface to Python - comprehensive set of tools for interoperability between Python and R
metric-learn [link] Co-author
Python package for state-of-art metric learning algorithms
Selected Talks [full list]
Production-Ready AI Platform on Kubernetes
Invited Speaker, KubeCon Europe 2024 [link]
[Keynote] Building for the Road Ahead: An Ode to Maintainers, the Life Blood of Our Ecosystem
Invited Keynote Speaker, KubeCon North America 2022 [link]
Data Science in the Cloud-Native Era
Invited Speaker, Open Data Science Conference 2022 [link]
[Keynote] When Machine Learning Toolkit for Kubernetes Meets PaddlePaddle
Invited Keynote Speaker, Wave Summit [link]
Unveil The Secret Ingredients for Argo CD at Enterprise Scale
Invited Speaker, KubeCon China 2021 [link]
Bridging into Python Ecosystem with Cloud-Native Distributed Machine Learning Pipelines
Speaker, ArgoCon 2021 [link]
Towards Cloud-Native Distributed Machine Learning Pipelines at Scale
Speaker, PyData Global 2021 [link]
Large Scale Distributed Deep Learning with Kubernetes Operators
Invited Speaker, KubeCon Europe 2019 [link]
Publications [Google Scholar]
[Conference] Couler: Unified Machine Learning Workflow Optimization in Cloud 2024
  • Xiaoda Wang,
  • Yuan Tang,
  • Tengda Guo,
  • Bo Sang,
  • Jingji Wu,
  • Jian Sha,
  • Ke Zhang,
  • Jiang Qian,
  • Mingjie Tang
40th IEEE International Conference on Data Engineering (ICDE)
[PDF] [GitHub]
[Book] Distributed Machine Learning Patterns 2023
  • Yuan Tang
Manning Publications, ISBN 9781617299025
[Link] [GitHub]
[Patent] System and Method for Distributed Task Execution 2023
  • Yi Wang,
  • Wei Yan,
  • Yuan Tang,
  • Haitao Zhang,
  • Chunyang Wen,
  • Minghao Li,
  • Jun Qi,
  • Yongfeng Liu
China Patent CN110609749B
[Book] Dive into Deep Learning (with TensorFlow)《动手学深度学习》 2020
  • Aston Zhang,
  • Zachary C. Lipton,
  • Mu Li,
  • Alexander J. Smola,
  • Anirudh Dagar,
  • Yuan Tang
[Link] [GitHub]
[Journal] metric-learn: Metric Learning Algorithms in Python 2020
  • William de Vazelhes,
  • CJ Carey,
  • Yuan Tang,
  • Nathalie Vauquier,
  • Aurélien Bellet
Journal of Machine Learning Research (JMLR)
[PDF] [GitHub]
[Preprint] A Scalable and Cloud-Native Hyperparameter Tuning System 2020
  • Johnu George,
  • Ce Gao,
  • Richard Liu,
  • Hou Gang Liu,
  • Yuan Tang,
  • Ramdoot Pydipaty,
  • Amit Kumar Saha
arXiv preprint arXiv:2006.02085
[PDF] [GitHub]
[Patent] Systems and Methods for Detecting and Remedying Software Anomalies 2020
  • Yuan Tang,
  • Tuo Li,
  • James Herzog
United States Patent US10635519B1
[Preprint] SQLFlow: A Bridge between SQL and Machine Learning 2020
  • Yi Wang,
  • Yang Yang,
  • Weiguo Zhu,
  • Yi Wu,
  • Xu Yan,
  • Yongfeng Liu,
  • Yu Wang,
  • Liang Xie,
  • Ziyao Gao,
  • Wenjing Zhu,
  • Xiang Chen,
  • Wei Yan,
  • Mingjie Tang,
  • Yuan Tang
arXiv preprint arXiv:2001.06846
[PDF] [GitHub]
[Journal] lfda: Local Fisher Discriminant Analysis in R 2019
  • Yuan Tang,
  • Wenxuan Li
Journal of Open Source Software (JOSS)
[PDF] [GitHub]
[Journal] dml: Distance Metric Learning in R 2018
  • Yuan Tang,
  • Tao Gao,
  • Nan Xiao
Journal of Open Source Software (JOSS)
[PDF] [GitHub]
[Journal] autoplotly: An R Package for Automatic Generation of Interactive Visualizations for Statistical Results 2018
  • Yuan Tang
Journal of Open Source Software (JOSS)
[PDF] [GitHub]
[Conference] TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks 2017
  • Heng-Tze Cheng,
  • Lichan Hong,
  • Mustafa Ispir,
  • Clemens Mewald,
  • Zakaria Haque,
  • Illia Polosukhin,
  • Georgios Roumpos,
  • D Sculley,
  • Jamie Smith,
  • David Soergel,
  • Yuan Tang,
  • Philipp Tucker,
  • Martin Wicke,
  • Cassandra Xia,
  • Jianwei Xie
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)
[PDF] [GitHub]
[Book] TensorFlow in Practice《TensorFlow实战》 2017
  • Wenjian Huang,
  • Yuan Tang
Beijing Publishing House of Electronics Industry
[Link] [GitHub]
[Journal] ggfortify: Unified Interface to Visualize Statistical Result of Popular R Packages 2016
  • Yuan Tang,
  • Masaaki Horikoshi,
  • Wenxuan Li
The R Journal
[PDF] [GitHub]
[Preprint] Incorporating Hierarchical Structure into Dynamic Systems: An Application of Estimating HIV Epidemics at Sub-National and Sub-Population Level 2016
  • Le Bao,
  • Ben Sheng,
  • Xiaoyue Niu,
  • Yuan Tang,
  • Tim Brown,
  • Peter D. Ghys,
  • Jeff W. Eaton
arXiv preprint arXiv:1602.05665
Awards by Teams at Red Hat 2023
- Team Advocate, Focus on Team, Dec 15th, 2023 [certificate]
Multiple Awards by Teams at Alibaba Group 2020 - 2021
- Inner Source Pioneer, April 17th, 2021 [certificate]
- Top Open Source Contributor of the Year, Jan 20th, 2020
- Best Pull Request of the Week, May 3rd, 2020
Outstanding China Mainland Books Copyright Exported to Taiwan 2018
The Publishers Association of China
Outstanding Author 2017
Beijing Publishing House of Electronics Industry
Open Source Peer Bonus Award 2016
Google Inc.
Multiple Awards to DataNovo Startup Team 2015 - 2016
- Top 3 Finalist by SXSW Interactive, 2016
- Top Startup Winner by TiE50, 2016
- Trial Support Software Innovation Award by Legaltech News, The Recorder, 2016
- B2B Finalist by Launch Festival, 2015
Best Virtual Reality Hack at HackRPI 2014
Rensselaer Polytechnic Institute
Multiple Awards by Schreyer Honors College at Penn State 2014
- Pre-Eminence in Honors Education Fund ($5,000)
- Summer Research Grants ($1,200)
- NSF MCTP Grant and PMASS Fellowship ($12,800)
- John K. Tsui Honors Scholarship ($5,300)