Yuan Tang Email and Phone Number
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Yuan is a Principal Software Engineer at Red Hat AI. Previously, he has led AI infrastructure and platform teams at various companies. He holds leadership positions in open source projects, including Argo, Kubeflow, and Kubernetes. He's also a maintainer and author of many popular open source projects. In addition, Yuan authored three technical books and published numerous impactful papers. He's a regular conference speaker, technical advisor, leader, and mentor at various organizations.唐源,现任 红帽 AI 主任软件工程师。在此之前,曾在多家公司带领过团队建立 AI 基础架构和平台。 他在多个开源项目担任 Leader 职位,包括 Argo 、 Kubeflow 、以及 Kubernetes。也是多个开源软件的作者和维护者。唐源著有三本技术书籍以及多篇有影响力的论文。他不定期地在不同的技术会议上发表演讲。 同时也是多个公司和开源组织的技术顾问、团队 Leader、以及导师。 CV: https://terrytangyuan.github.io/cvMore info: https://terrytangyuan.github.io/about/Bluesky: https://bsky.app/profile/terrytangyuan.xyzTwitter: https://twitter.com/TerryTangYuanGitHub: https://github.com/terrytangyuanMastodon: https://fosstodon.org/@terrytangyuanFor brief summary of my open source work and potential sponsorship, visit here: https://github.com/sponsors/terrytangyuanSchedule time to chat with me to discuss open source and collaboration opportunities: https://calendly.com/chat-with-terry/
Red Hat
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Senior Principal Software Engineer - Red Hat AiRed HatWest Lafayette, In, Us -
Principal Software Engineer - Openshift Ai, Red Hat AiRed Hat Dec 2023 - PresentRaleigh, Nc, Us- Serving as a Staff Engineer in the technical leadership team, responsible for decision making and product alignment across the AI Engineering organization of 200+ engineers;- Representing Red Hat as a member of Kubeflow Steering Committee, co-chair of Kubernetes WG Serving, and the primary contact of LF AI & Data Foundation;- Building scalable model serving platform on Kubernetes for OpenShift AI and maintaining KServe;- Working with product managers, engineers, and stakeholders to evaluate and prioritize product enhancement requests regularly as a member of the technical advisory group;- Serving as the co-chair of AI Engineering SIG Serving to lead internal cross-team discussion and alignment on technical strategy for our AI products;- Mentoring team members and establishing partnerships and collaborations with external organizations and communities. -
Program ChairCloud Native Computing Foundation (Cncf) Jun 2023 - PresentSan Francisco, Ca, Us- Program Chair of Cloud Native + Kubernetes AI Day; Program Committee Member of KubeCon Europe AI/ML Track, 2025- 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 -
Co-Chair - Wg ServingKubernetes May 2024 - PresentServing Working Group, which focuses on the novel challenges of compute-intensive online inference: https://github.com/kubernetes/community/tree/master/wg-serving -
Project LeadArgo Project May 2023 - PresentMountain View, California, Us- Project Lead of Argo Workflows, the container-native workflow engine for Kubernetes.- Maintainer of Argo CD, a declarative and GitOps continuous delivery tool for Kubernetes. -
Project MaintainerArgo Project Mar 2021 - PresentMountain View, California, Us- Maintainer of Argo Workflows, the container-native workflow engine for Kubernetes.- Maintainer of Argo CD, a declarative and GitOps continuous delivery tool for Kubernetes. -
Kubeflow Steering Committee MemberKubeflow Jan 2024 - PresentSunnyvale, Ca, UsThe Kubeflow Steering Committee (KSC) is the governing body of the Kubeflow project, providing decision-making and oversight pertaining to the Kubeflow project policies, sub-organizations, and financial planning, and defines the project values and structure. -
Co-Chair And Technical LeadKubeflow Jan 2020 - PresentSunnyvale, Ca, UsMachine learning toolkits on Kubernetes. Co-chair of Distributed Training Working Group and maintainer of various Kubernetes operators for machine learning frameworks such as TensorFlow, PyTorch, MXNet, and XGBoost. -
Project MaintainerKserve Sep 2024 - PresentHighly scalable and standards based Model Inference Platform on Kubernetes -
Seed Investor:Probabl. Sep 2024 - PresentParis, FrInvested in the seed round of Probabl. Probabl is a mission-driven company and the official brand operator of scikit-learn, founded by several co-founders and core-developers of scikit-learn and a team of experienced entrepreneurs and technologists. Check out the full announcement here: https://papers.probabl.ai/announcing-major-milestone-empowering-the-future-of-data-science -
Founding EngineerAkuity, Inc. Sep 2021 - Nov 2023Sunnyvale, California, Us- First founding 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;- Co-authored CNCF Certified Argo Project Associate exam. -
Project Maintainer - TensorflowGoogle Feb 2016 - Jan 2023Mountain View, Ca, UsEnd-to-end open source platform for machine learning. Co-author of TensorFlow Estimators and maintainer of TensorFlow I/O. Recipient of Google Open Source Peer Bonus in 2016 for my contributions to TensorFlow. -
Project Management Committee Member And Committer - Apache MxnetThe Apache Software Foundation Jan 2017 - 2023Wilmington, Delaware, UsProject Management Committee Member and Committer. Co-author of the Scala package. -
Technical AdvisorChaintool Jul 2022 - Oct 2022Singapore, SgTechnical Advisor at TuDB on Distributed Graph Database and Machine Learning Systems -
EditorJournal Of Open Source Software Jan 2018 - Jul 2022Editor on Machine Learning, Distributed Systems, and Cloud Computing -
MentorGoogle Summer Of Code Jun 2016 - May 2022- Argo, 2022- Kubeflow, 2020, 2024- TensorFlow, 2019- R Project for Statistical Computing, 2016 -
Technical AdvisorEviden Jan 2020 - Aug 2021Bezons, France, Fr- Technical Advisor on MLOps and Open Source Strategy https://github.com/data-describe/data-describe -
Senior Software Engineer / Tech LeadAlibaba Group Jun 2018 - Aug 2021Hangzhou, Cn- 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 EngineerH2O.Ai Dec 2017 - May 2018Mountain View, Ca, Us- 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 LeadUptake Sep 2015 - Nov 2017Chicago, Illinois, Us- 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.
Yuan Tang Skills
Yuan Tang Education Details
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Georgia Institute Of TechnologyComputer Science -
Schreyer Honors College At Penn StateMathematics -
Penn State UniversityMathematics -
Grattan Academy High SchoolHigh School Diploma -
长郡中学Science
Frequently Asked Questions about Yuan Tang
What company does Yuan Tang work for?
Yuan Tang works for Red Hat
What is Yuan Tang's role at the current company?
Yuan Tang's current role is Senior Principal Software Engineer - Red Hat AI.
What is Yuan Tang's email address?
Yuan Tang's email address is te****@****ail.com
What schools did Yuan Tang attend?
Yuan Tang attended Georgia Institute Of Technology, Schreyer Honors College At Penn State, Penn State University, Grattan Academy High School, 长郡中学.
What skills is Yuan Tang known for?
Yuan Tang has skills like Data Analysis, Matlab, Java, R, Python, Machine Learning, Algorithms, C++, Tex, Javascript, Html, Php.
Who are Yuan Tang's colleagues?
Yuan Tang's colleagues are Kyle Baker, Vishal Sinha, Craig Klein, Aram S., Raman Raju, Seherish Mughal, Automation User.
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