Aug 2025 – Present · 7 mos

• Serving as a primary voting member of the Technical Advisory Council for the LF AI & Data Foundation, representing Red Hat.

Jul 2025 – Present · 8 mos · Remote

• Define a standardized set of capabilities, APIs, and configurations that a Kubernetes cluster must offer to reliably and efficiently run AI/ML workloads: https://github.com/kubernetes/community/tree/master/wg-ai-conformance

May 2024 – Present · 1 yr 10 mos · Remote

• Focuses on the novel challenges of compute-intensive online inference: https://github.com/kubernetes/community/tree/master/wg-serving

Jun 2025 – Present · 9 mos

• Technical Advisory Group under the CNCF TOC with a focus on Workloads Foundation.
• Mission: To define and advance practices and standards for fundamental cloud native workload execution environments and their related lifecycle management within cloud native systems, applications, and architectures. This supports the CNCF's technical vision by addressing critical problems faced by adopters and contributing to a robust cloud native ecosystem.

Jun 2023 – Present · 2 yrs 9 mos

• Program Chair of Cloud Native + Kubernetes AI Day (Europe, North America, China), 2024 - 2025
• Program Committee Member of KubeCon AI/ML Track (Europe, North America, China, Japan, India), 2024 - 2025
• Program Chair of Data on Kubernetes Day at KubeCon North America, 2023

Jun 2025 – Present · 9 mos · West Lafayette, Indiana, United States

• National Science Foundation (NSF)-sponsored projects at Department of Computer Science at Purdue University

Apr 2025 – Present · 11 mos · West Lafayette, Indiana, United States · Remote

• Red Hat AI Engineering, AI Platform (OpenShift AI)

Dec 2023 – Apr 2025 · 1 yr 4 mos · West Lafayette, Indiana, United States · Remote

• Serving in the technical leadership team, responsible for technical decision making and product alignment across the AI Engineering organization of 300+ engineers;
• Serving as a founding member and co-chair of Kubernetes WG Serving, WG AI Conformance, and CNCF TAG Workloads Foundation;
• Representing Red Hat as the primary voting member of the Technical Advisory Council at LF AI & Data Foundation and member of Kubeflow Steering Committee;
• Building scalable model serving platform on Kubernetes for OpenShift AI and serving as a Technical Steering Committee member of 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 discussions and alignment on technical strategy for our AI products;
• Mentoring team members at various levels and establishing partnerships and collaborations with external organizations and communities;
• Led successful adoption of Llama Stack as the Red Hat AI GenAI API standard and became the first non-Meta project maintainer;
• Received company-wide awards such as IBM Tech Award and Red Hat AI Engineering Jedi Award, as well as numerous awards and internal recognition from colleagues.

Sep 2024 – Sep 2025 · 1 yr

• xAI (Series B): https://x.ai/
• Figure AI (Series C): https://www.figure.ai/
• Blok (Pre-Seed and Seed): https://www.joinblok.co/
• Probabl (Seed): https://probabl.ai/
• Other startups in stealth mode

Jan 2019 – Jan 2025 · 6 yrs

• Metabit Trading, cloud-native infrastructure for quantitative trading
• NascentCore, high-performance large model training infrastructure
• Chaintool (now part of Codatta), distributed graph database system for risk management on Web3
• TensorChord, container-based reproducible development environment for AI/ML
• Moises (now part of Music.AI), AI-powered music and audio platform
• Maven Wave (now Eviden, part of Atos), machine learning, data visualization, and open source strategy
• CSPA (acquired by AngelList), technical steering and open source strategy

Sep 2024 – Present · 1 yr 6 mos · United States · Remote

• Highly scalable and standards based Model Inference Platform on Kubernetes

Jan 2024 – Present · 2 yrs 2 mos

• The 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.

Jan 2020 – Present · 6 yrs 2 mos

• Machine 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.

Sep 2021 – Nov 2023 · 2 yrs 2 mos · West Lafayette, IN / Sunnyvale, CA · Remote

• 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.

Mar 2021 – Present · 5 yrs · Remote

• 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.

Jun 2018 – Aug 2021 · 3 yrs 2 mos · West Lafayette, IN / Sunnyvale, CA / Hangzhou, China · Hybrid

• 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.

Jan 2018 – Jul 2022 · 4 yrs 6 mos · West Lafayette, Indiana, United States

• Editor on Machine Learning, Distributed Systems, and Cloud Computing

Dec 2017 – May 2018 · 5 mos · West Lafayette, IN / Mountain View, CA

• 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.

Jan 2017 – Jan 2023 · 6 yrs

• Project Management Committee Member and Committer. Co-author of the Scala package.

Jun 2016 – Sep 2024 · 8 yrs 3 mos · West Lafayette, Indiana, United States

• Argo, 2022
• Kubeflow, 2020, 2024
• TensorFlow, 2019
• R Project for Statistical Computing, 2016

Feb 2016 – Jan 2023 · 6 yrs 11 mos · West Lafayette, Indiana, United States

• End-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. First non-Google maintainer.

Sep 2015 – Nov 2017 · 2 yrs 2 mos · Greater Chicago Area · On-site

• 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.