Program Committee

I am the AI Team lead for the OSPO creating the upstream strategy for Red Hat to align with open source communities aligned to our mission and technical vision.

My role as Sr.Principal Community Architect within Red Hat’s Open Source Program Office (OSPO) has allowed me to work in a variety of Linux Foundation communities such as the CNCF, FINOS, Green Software Foundation, LF AI & Data, vLLM and more. I have previously held leadership roles in FINOS and the CNCF Environmental Sustainability TAG.

Cara has over 15 years in marketing and community engagement with the primary focus being in the financial services industry. Cara holds a B.S. in Political Science from Virginia Polytechnic & State University.

Dr. Deborah Dahl is an expert on Conversational AI and related standards. She has developed many natural language processing systems and has over 20 years of experience in standards work at the World Wide Web Consortium and the Linux Foundation AI and Data Foundation. Dr. Dahl has written many technical papers and four books, most recently Natural Language Understanding with Python, published in 2023.

I founded ejTalk Inc where I drive R&D for human-computer conversation systems, creating systems to do real-time intelligent and natural conversations with humans. These range from PC based, wearable embedded, and exploratory R&D systems. I have rich experience over the entire scope of the relevant technologies. I personally prefer conceptually hard problems.

👋 Hi, I’m Ezequiel Lanza (Eze), and I’m passionate about helping people explore the thrilling realm of artificial intelligence. As a regular AI conference presenter, I take pride in creating impactful use cases, tutorials, and guides to assist developers in adopting open source AI tools.

With a solid foundation in engineering and a decade of experience assisting customers and developers in the software realm, I bring a wealth of practical knowledge to the table. Currently, I’m writing my thesis as I pursue a Master’s in Data Science from Universidad Austral in Argentina (Yeah, it was AI before ChatGPT:) ).

I’m usually an AI speaker at conferences like Open Source Summit, Kubecon, All Things Open, ODSC and AAAI among other relevant AI events. 

10-time award winner in Artificial Intelligence and Open Source and the co-author of the book ‘Sculpting Data For ML’, Jigyasa Grover is a powerhouse brimming with passion for making a dent in this world of technology and bridging the gender gap. AI & Research Lead, she has many years of ML engineering & Data Science experience in deploying large‐scale low-latency systems for user personalization and monetization on popular social networking apps like Twitter and Facebook, and e‐commerce at Faire, particularly ads prediction, sponsored content ranking, and recommendation with a recent focus on Generative AI. She is also one of the few ML Google Developer Experts and Google Women Techmaker Ambassadors globally. As a World Economic Forum’s Global Shaper, she ensures the leverage of her technical skills and connections for solution-building, policy-making, and lasting change.

Recently, she was featured at the Google I/O 2024 main keynote and introduced by Sundar Pichai on the stage as she spoke about my experience using Gemini 1.5 Pro’s 1 million token context window. As a part of the Google Developer Advisory Board (gDAB) she collaborates with experts and contributes to shaping the future of Google’s developer ecosystem. She is also involved with Google Developer Experts and Google for Startups, and most recently was on the Generative AI panel with some renowned folks from the industry and startup world.

Nick Chase is a seasoned technology leader with over 25 years of experience in AI/ML, cloud computing, and education. Currently the AI/ML Practice Director and Senior Director of Product Management at CloudGeometry, he drives product development and strategy for AI/ML solutions. 

He has a strong background in content creation, technical marketing, and curriculum development, and is the author of “”””Machine Learning for Mere Mortals””””. His expertise spans AI/ML project management, product strategy, and technical communication.

I am a Software Engineer specializing in managing Kubernetes clusters across AWS, GCP, and Azure public clouds. At Confluent, we run stateful and data-intensive applications such as Kafka and Flink on Kubernetes clusters.

With expertise in distributed systems, cloud infrastructure, and backend development, I help design scalable, resilient cloud-native solutions. 
Previously, I worked on Oracle’s Kubernetes Engine team, enhancing its managed Kubernetes service. 
I’m passionate about solving complex engineering challenges in cloud environments.

Apart from learning about distributed systems and infrastructure, I enjoy cycling & cooking!

Ricardo currently works at Snowflake as a Cloud Infrastructure Lead helping automate AI/ML infrastructure with cloud native technologies. He’s an open source enthusiast and co-chair of the CNCF TAG-Runtime. He has been working in tech for more than 20 years and comes from a diverse professional background, having been in different roles at large companies such as Rakuten, Cisco and VMware as well as startups such as Branch Metrics, Coupa, Hytrust, Exablox, and SnapLogic.

Ronald Petty is a consultant at RX-M, a global Cloud Native an AI advisory and training firm. Ronald works as a consultant/advisor/board-member for both for-profit and non-profit organizations focusing on technology and related policy issues. Additionally, he authors and edits technical material around software development. He participated in the creation of the Kubernetes certifications and is co-lead of the Cloud Native AI Working Group. Ronald is a member of the Internet Society and Association for Computing Machinery, and is the 2024-2025 chair for both San Francisco Bay chapters.

Sriram Panyam is a seasoned Software Engineering Leader with deep expertise in AI, Cloud Computing, and SaaS platforms. As the Chief Architect of Omlet Inc., he drives innovation in open observability through a cutting-edge platform built on OpenTelemetry. Sriram has authored numerous insightful articles published in DZone, IEEE Xplore, and the Forbes Technology Council, and serves as an active reviewer for esteemed conferences and journals, including IEEE Engineering Management Review and Computer Magazine. 

Sriram is a staunch advocate for open source. As part of the LF AI & Data, Generative AI Commons Education and Outreach Committee, Sriram is equally passionate about mentoring and coaching engineers and managers, empowering them to reach their full potential and advance their careers. His leadership philosophy emphasizes technical excellence, collaboration, and continuous learning, making him a respected voice in the tech community.

Stephen Chin is VP of Developer Relations at Neo4j, member of the LF AI & Data Foundation and Open AI Alliance, and author of several titles with O’Reilly, Apress, and McGraw Hill. He has keynoted numerous conferences around the world including AI DevSummit, Devoxx, DevNexus, JNation, JavaOne, Shift, Joker, swampUP, and Open Source India. Stephen is an avid motorcyclist who has done evangelism tours in Europe, Japan, and Brazil, interviewing developers in their natural habitat. When he is not traveling, he enjoys teaching kids how to do AI, embedded, and robot programming together with his daughters.

Vini Jaiswal is a recognized expert in AI and Data, acclaimed for her contributions to Apache Spark, MLflow, and Delta Lake. As the Chair of Technical Advisory Committee at Linux Foundation AI and data, Governing Board member, and contributor in open-source initiatives at Grace Hopper, Vini is instrumental in driving technological innovation, empowering developers, and shaping the future of data and AI. Through advisory roles and impactful tenures at Databricks and Citi, she provided solutions for navigating complex global policy landscapes and technology architectures for international organizations and academia.