Responsible for Dell AI Factory and Edge AI product strategy, technical direction, product requirements and development. Support major business development initiatives. Determine financial business case for AI Factory. Interface with key partners Nvidia, AMD, Intel, Foundation Model developers and AI software ecosystem. Serve as Product Owner for AI Factory in our agile development process.
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
Techniques described herein relate to a method for managing workflows. The method may include obtaining, from a client, by a registration manager associated with accelerator pools, a request to perform a portion of a workflow using accelerators; identifying a minimum quantity and a maximum quantity of accelerators associated with the request; identifying a storage to store data associated with the portion of the workflow; identifying an accelerator pool of the accelerator pools that includes at least the maximum quantity of accelerators; establishing a connection between the client, the storage, and accelerators of the accelerator pool to perform the portion of the workflow; and initiating the performance of the portion of the workflow using the storage, the client, and the accelerators of the accelerator pool.
A method of implementing a self-provisioning computer system is shown. The method includes storing a secure base activation image on a computer system. This includes storing executable code to implement enhanced network discovery configured to first attempt to determine if a private TCP port is open and if the private TCP port is not open to default to use of a public URL on a well-known TCP port at the computer system. This further includes storing executable code to implement an auto-connection service configured to automatically connect to a remote activation service to perform identification and attestation of the computer system. This further includes storing executable code to implement a secure vault for cryptographic secrets.