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Industrial Edge
On-Device ML
Enterprise Use Case

Author:

Prem Theivendran

Director, Software Engineering
Expedera

Prem Theivendran is Director of Software Engineering at Expedera, where he leads the development and productization of Expedera’s software toolchain and SDK. With an expertise in Deep Learning, Prem has held hardware and software design roles at Intel, Cisco, Cavium, and Xpliant. Prem holds a Bachelor of Science in Electrical Engineering and Computer Sciences from the University of California, Berkeley.

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Prem Theivendran

Director, Software Engineering
Expedera

Prem Theivendran is Director of Software Engineering at Expedera, where he leads the development and productization of Expedera’s software toolchain and SDK. With an expertise in Deep Learning, Prem has held hardware and software design roles at Intel, Cisco, Cavium, and Xpliant. Prem holds a Bachelor of Science in Electrical Engineering and Computer Sciences from the University of California, Berkeley.

Responsible AI is often framed in terms of ethical models and fair data—but the foundation for responsibility lies in infrastructure. In this talk, we’ll explore how platform-level capabilities like environment isolation, auditability, workload reproducibility, and resource-aware orchestration are essential to delivering AI that’s not just performant, but trustworthy. We’ll also examine how infrastructure decisions directly impact the quality and reliability of model evaluations—enabling teams to catch bias, ensure compliance, and meet evolving governance standards. If you’re building or scaling AI systems, this session will show how infrastructure becomes the enabler of responsible AI at every stage.

Data Privacy & Governance
Enterprise Use Case

Author:

Taylor Smith

Senior AI Advocate
Red Hat

Taylor Smith is a Senior AI Advocate at Red Hat, where she champions open source innovation and the responsible adoption of AI at scale. With a background in software development, Kubernetes, Linux, and technical partnerships, she focuses on helping organizations build and operationalize AI using modern infrastructure. Taylor is passionate about making AI more accessible, trustworthy, and grounded in real-world use cases. 

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Taylor Smith

Senior AI Advocate
Red Hat

Taylor Smith is a Senior AI Advocate at Red Hat, where she champions open source innovation and the responsible adoption of AI at scale. With a background in software development, Kubernetes, Linux, and technical partnerships, she focuses on helping organizations build and operationalize AI using modern infrastructure. Taylor is passionate about making AI more accessible, trustworthy, and grounded in real-world use cases. 

Memory
Generative AI

Author:

Euicheol Lim

Research Fellow, System Architect
SK Hynix

Eui-cheol Lim is a Research Fellow and leader of Solution Advanced Technology team in SK Hynix. He received the B.S. degree and the M.S. degree from Yonsei University, Seoul, Korea, in 1993 and 1995, and the Ph.D. degree from Sungkyunkwan University, suwon, Korea in 2006. Dr.Lim joined SK Hynix in 2016 as a system architect in memory system R&D. Before joining SK Hynix, he had been working as an SoC architect in Samsung Electronics and leading the architecture of most Exynos mobile SoC. His recent interesting points are memory and storage system architecture with new media memory and new memory solution such as CXL memory and Processing in Memory. In particular, he is proposing a new computing architecture based on PIM, which is more efficient and flexible than existing AI accelerators, to process generative AI and LLM (large language Model) that is currently causing a sensation.

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Euicheol Lim

Research Fellow, System Architect
SK Hynix

Eui-cheol Lim is a Research Fellow and leader of Solution Advanced Technology team in SK Hynix. He received the B.S. degree and the M.S. degree from Yonsei University, Seoul, Korea, in 1993 and 1995, and the Ph.D. degree from Sungkyunkwan University, suwon, Korea in 2006. Dr.Lim joined SK Hynix in 2016 as a system architect in memory system R&D. Before joining SK Hynix, he had been working as an SoC architect in Samsung Electronics and leading the architecture of most Exynos mobile SoC. His recent interesting points are memory and storage system architecture with new media memory and new memory solution such as CXL memory and Processing in Memory. In particular, he is proposing a new computing architecture based on PIM, which is more efficient and flexible than existing AI accelerators, to process generative AI and LLM (large language Model) that is currently causing a sensation.

Author:

Mark Kuemerle

VP, Technology, Custom Cloud Solutions
Marvell

Mark Kuemerle is Vice President, Technology, Custom Cloud Solutions at Marvell. In this role, Mark is responsible for defining leading-edge ASIC offerings, drives product competitiveness, and architects system-level solutions. Before joining Marvell, Mark was a Fellow in Integrated Systems Architecture at GLOBALFOUNDRIES and has held multiple engineering positions at IBM.   

He has authored numerous articles on die-to-die connectivity and multichip systems and holds several patents related to low-power technologies and package integration. Mark earned a Master of Science and a Bachelor of Science degree in Computer Engineering from Case Western Reserve University. 

 

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Mark Kuemerle

VP, Technology, Custom Cloud Solutions
Marvell

Mark Kuemerle is Vice President, Technology, Custom Cloud Solutions at Marvell. In this role, Mark is responsible for defining leading-edge ASIC offerings, drives product competitiveness, and architects system-level solutions. Before joining Marvell, Mark was a Fellow in Integrated Systems Architecture at GLOBALFOUNDRIES and has held multiple engineering positions at IBM.   

He has authored numerous articles on die-to-die connectivity and multichip systems and holds several patents related to low-power technologies and package integration. Mark earned a Master of Science and a Bachelor of Science degree in Computer Engineering from Case Western Reserve University. 

 

Autonomy
On-Device ML
Enterprise Use Case
Industrial Edge

Author:

Shreya Singhal

Applied Generative AI Research Scientist
Claritev

Shreya Singhal is an Applied Generative AI Research Scientist at Claritev, where she works on building and optimizing large-scale AI systems with a focus on LLMs, multimodal models, and AI agents. She holds a Master’s in Computer Science from the University of Texas at Austin and has prior experience across industry and research roles at organizations such as Dell Technologies, Charles Schwab, and IIIT Hyderabad. Her work spans retrieval-augmented generation, prompt engineering, and deploying production-grade AI pipelines, with a passion for advancing the infrastructure that powers generative AI.

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Shreya Singhal

Applied Generative AI Research Scientist
Claritev

Shreya Singhal is an Applied Generative AI Research Scientist at Claritev, where she works on building and optimizing large-scale AI systems with a focus on LLMs, multimodal models, and AI agents. She holds a Master’s in Computer Science from the University of Texas at Austin and has prior experience across industry and research roles at organizations such as Dell Technologies, Charles Schwab, and IIIT Hyderabad. Her work spans retrieval-augmented generation, prompt engineering, and deploying production-grade AI pipelines, with a passion for advancing the infrastructure that powers generative AI.

Behind every AI product at WBD lies a shared foundation — a unified AI/ML architecture designed to handle everything from data ingestion to large-scale model deployment. In this session, we’ll take you under the hood of the platform that powers recommendations, personalization, content understanding, and more. You’ll learn how we designed for scalability, flexibility, and reliability across a diverse product portfolio, and the lessons we learned building an AI infrastructure that can serve billions of interactions a day.

Data Privacy & Governance
Enterprise Use Case

Author:

Nenad Mancevic

Principal Software Engineer
Warner Brothers Discovery
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Nenad Mancevic

Principal Software Engineer
Warner Brothers Discovery
Memory

Author:

Rochan Sankar

Co-Founder & CEO
Enfabrica

Rochan is Founder, President and CEO of Enfabrica. Prior to founding Enfabrica, he was Senior Director and leader of the Data Center Ethernet switch silicon business at Broadcom, where he defined and brought to market multiple generations of Tomahawk/Trident chips and helped build industry-wide ecosystems including 25G Ethernet and disaggregated whitebox networking.

Prior, he held roles in product management, chip architecture, and applications engineering across startup and public semiconductor companies. Rochan holds a B.A.Sc. in Electrical Engineering from the University of Toronto and an MBA from the Wharton School, and has 6 issued patents.

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Rochan Sankar

Co-Founder & CEO
Enfabrica

Rochan is Founder, President and CEO of Enfabrica. Prior to founding Enfabrica, he was Senior Director and leader of the Data Center Ethernet switch silicon business at Broadcom, where he defined and brought to market multiple generations of Tomahawk/Trident chips and helped build industry-wide ecosystems including 25G Ethernet and disaggregated whitebox networking.

Prior, he held roles in product management, chip architecture, and applications engineering across startup and public semiconductor companies. Rochan holds a B.A.Sc. in Electrical Engineering from the University of Toronto and an MBA from the Wharton School, and has 6 issued patents.

Author:

Anahita Mouro

Global Lead, Data Center Field Reliability & Quality
Google

Transformational Quality Leader with over 15 years of experience in mission-critical industries and technical infrastructure with a proven track record in driving operational excellence and product reliability and quality improvements through innovative strategies, exceptional leadership, and meticulous execution.  She is adept at enhancing organizational efficiency, reducing costs, and fostering a culture of continuous improvement. Anahita is a certified ASQ Six Sigma Black Belt and Quality Engineer with deep expertise in managing large-scale projects and leading cross-functional teams to achieve strategic goals.
Passionate about building and leading high-performing technical teams and enable their success and growth.

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Anahita Mouro

Global Lead, Data Center Field Reliability & Quality
Google

Transformational Quality Leader with over 15 years of experience in mission-critical industries and technical infrastructure with a proven track record in driving operational excellence and product reliability and quality improvements through innovative strategies, exceptional leadership, and meticulous execution.  She is adept at enhancing organizational efficiency, reducing costs, and fostering a culture of continuous improvement. Anahita is a certified ASQ Six Sigma Black Belt and Quality Engineer with deep expertise in managing large-scale projects and leading cross-functional teams to achieve strategic goals.
Passionate about building and leading high-performing technical teams and enable their success and growth.

Running workloads on the edge means operating with a finite amount of compute resources, which means that running workloads as lightweight as possible is generally preferable. In contrast, securely operating workloads in the cloud often means spinning up additional virtual machines for strong workload isolation. On the edge, this strategy is often not feasible. This talk covers how you can securely run containers in lightweight Kubernetes clusters on the edge entirely without the need for virtualization. This talk will cover different hardening approaches and compare them with special focus on securing AI workloads on the edge.

Autonomy
On-Device ML
Compute
Industrial Edge

Author:

Lukas Gentele

CEO
vCluster Labs

Lukas Gentele is the CEO & Co-Founder of vCluster Labs, a venture-backed startup virtualizing Kubernetes to enable advanced tenancy models to increase utilization, reduce cost and make Kubernetes more dynamic than ever. vCluster enables platform and infra teams to create virtual Kubernetes clusters which are as scalable and isolated as traditional clusters but much more lightweight and versatile. Trusted by companies such as CoreWeave, Nscale, Adobe, and Deloitte, vCluster enables organizations to create fully isolated tenant clusters on any infrastructure, from public cloud to private clouds all the way to AI supercomputers powered by the latest GPUs. Lukas has been a keynote speaker and presenter at events such as KubeCon, DevOpsDays, ContainerConf, as well as at AWS and Kubernetes Community Days around the world.

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Lukas Gentele

CEO
vCluster Labs

Lukas Gentele is the CEO & Co-Founder of vCluster Labs, a venture-backed startup virtualizing Kubernetes to enable advanced tenancy models to increase utilization, reduce cost and make Kubernetes more dynamic than ever. vCluster enables platform and infra teams to create virtual Kubernetes clusters which are as scalable and isolated as traditional clusters but much more lightweight and versatile. Trusted by companies such as CoreWeave, Nscale, Adobe, and Deloitte, vCluster enables organizations to create fully isolated tenant clusters on any infrastructure, from public cloud to private clouds all the way to AI supercomputers powered by the latest GPUs. Lukas has been a keynote speaker and presenter at events such as KubeCon, DevOpsDays, ContainerConf, as well as at AWS and Kubernetes Community Days around the world.

Data Privacy & Governance

Author:

Rohith Vangalla

Lead Software Engineer
Optum

Dr. Rohith Vangalla is a Senior IEEE Member, AI Researcher, and Lead Software Engineer at Optum Technologies, specializing in AI-driven automation, cybersecurity, and enterprise AI infrastructure. With over ten years of experience, he has pioneered AI solutions in healthcare, digital marketing, and aviation, publishing impactful research that has transformed industry practices. At Optum, he has been instrumental in developing AI-driven chatbots, secure automation frameworks, and scalable AI solutions that enhance efficiency, compliance, and real-time decision-making. As a scholar, reviewer, and judge for major AI conferences, Dr. Vangalla continues to shape the future of AI infrastructure, privacy-first systems, and responsible AI development.

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Rohith Vangalla

Lead Software Engineer
Optum

Dr. Rohith Vangalla is a Senior IEEE Member, AI Researcher, and Lead Software Engineer at Optum Technologies, specializing in AI-driven automation, cybersecurity, and enterprise AI infrastructure. With over ten years of experience, he has pioneered AI solutions in healthcare, digital marketing, and aviation, publishing impactful research that has transformed industry practices. At Optum, he has been instrumental in developing AI-driven chatbots, secure automation frameworks, and scalable AI solutions that enhance efficiency, compliance, and real-time decision-making. As a scholar, reviewer, and judge for major AI conferences, Dr. Vangalla continues to shape the future of AI infrastructure, privacy-first systems, and responsible AI development.