Chief Architect for Office of CTO and Managing Director at Ernst and Young. Responsible for emerging technology platforms and products including product line management, architecture development and engineering. Emerging technology leadership including Knowledge Agent AI, Physical AI, Simulation, Advance Computation and others. Executive chair of the EY Enterprise Architecture Council for cross EY architectural standards development and alignment. Community leadership through technology assessments including funding recommendations, product line management and development process best practices. Support the EY FUEL innovation research team.
Lead the product development team for AI Factory and AI @ Edge. The AI Factory is a solution consisting of infrastructure (compute, storage, and networking), AI-optimized network design, control software stacks for cluster operations and multitenancy, and applications for training/inference, customization/tuning, and model execution optimization. Edge AI solutions focus primarily on distributed training and inference. Direct product strategy, define engineering requirements and design, and support major customer engagements. Establish the strategic roadmap and business priorities for the AI Factory. Engage with key partners in infrastructure, ISV applications, operating systems, and model development. Serve as the chief product owner for the Dell AI Factory solution. Redesigned the AI Factory to meet the requirements of modern Generative AI, including inference sizing and performance. Co-led the development of the Enterprise Reference Architecture for AI implementation in partnership with NVIDIA - becoming the first to complete this jointly defined certification. 25 patents granted, with 41 pending as of July 2025.
Member of the Digital Twin Consortium Steering Committee Board representing Dell Technologies.
Chief Technology Officer for Edge at Dell Technologies ISG CTO organization. Focus on Edge platform design and application of Edge technology to current enterprise use cases and emerging use cases of generative AI, simulation(XR/VR) and autonomous system control. Structured Edge partner design program, Edge patent committee co-chair, member of AI/ML Architecture Review Board. Technical focus areas in Distributed Systems Design using Model Driven Agent-Based control, Edge Orchestration, Edge Infrastructure Control, Scheduling Algorithm design, AI Discriminative/Generative ensemble and multimodal approaches for AI/ML control, AI/ML workload support, MultiCloud Execution Environment, Edge Information-Data Management, Edge Native Hardware evolution. Patents in distributed data management, Generative and Discriminative AI/ML, MultiTier/MultiObjective scheduling orchestration algorithms, cybersecurity and software defined edge. 14 Patents granted and 37 pending as of July 2024, see below.
Lead for edge technology development, composable systems technology strategy and autonomous technical ecosystem development for the Global Office of CTO for Dell Technologies. Areas of technology research include edge distributed systems management, edge communications, platform as a service, autonomous systems, applied artificial intelligence, distributed data management, hybrid multi-cloud architecture, policy/control/orchestration. Lead an architecture and development team focused on customer collaborative research. Chair the Dell Automotive Design Authority Council providing technical leadership of Dell's automotive vertical. Vice-Chairman award winner for 2020. Patents in the area of edge platform control, distributed data management, cloud native application management, scheduling and autonomic control.
Early stage venture focused on experimental stratospheric communications platform for Broadband and 5G access. Directed technology strategy, spectrum acquisition, system planning and system design in conjunction with tier 1 US defense contractor. Led technology discussions with prospective investors, government regulators and partners.
Lead HPE efforts in Communications segment in developing innovative solutions addressing transformation to Cloud, SDN and IP based platforms and business models. Set strategy, Design Solutions and Develop Business engagement. Significant engagements with clients in net new business areas.
Member of the Digital Twin Consortium Steering Committee Board representing Dell Technologies
Chairman of Board of Directors (2012 - 2014) and Member of Board of Directors (2007 - 2014) of Technology Association of Dallas Fort Worth focusing on Entrepreneurial Support, STEM, Legislative Advocacy, and Technology Industry Development
Senior member (2024), recognized by Dallas section (2008), recognized for leadership in industry relations (2011), best presentation at Envision 2020 conference, keynote speaker at IEEE/ACM Symposium on Edge Computation
An apparatus comprises at least one processing device configured to receive a cryptographically attested digital document from an onboarding management system, wherein the cryptographically attested digital document comprises one or more credentials for at least one device requesting access to a secure communication channel to communicate with the onboarding management system.The at least one processing device is further configured to verify whether the cryptographically attested digital document is valid, and identify the one or more credentials in response to verifying that the cryptographically attested digital document is valid.The one or more credentials are transmitted to at least one authenticator in response to a request from the at least one authenticator to authenticate the at least one device.The at least one device is given the access to the secure communication channel responsive to verification of the one or more credentials by at least one authenticator.
The disclosure describes an enhanced distributed retrieval augmented generation (RAG) system. The enhanced distributed RAG system provides RAG data to a local small foundation system to form prompts. The enhanced distributed RAG system creates local query optimized represen tations (QORs) that are matched with queries sent to the local small foundation system to create prompts. The enhanced distributed RAG system is located on one edge site and is connected to the global federated RAG module. The global federated RAG system is connected to other enhanced distributed RAG systems in other edge sites. QORs can be distributed across the enhanced distributed RAG systems and the global federated RAG module by promoting local QORs to global QORs and vice versa.