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 a distributed multi-tiered computing (DMC) environment. The method includes obtaining, by a global controller, a DMC environment management request from a user, whereas the DMC environment management request is associated with scheduling an application in the DMC environment; and in response to obtaining the request: identifying target domains for tasks associated with the application based on the request; selecting scheduling policies for each target domain; obtaining fingerprints of previously provisioned applications associated with the request; performing case based reasoning using the fingerprints to generate scheduling packages for the target domains; sending the scheduling packages to local controllers associated with the target domains; obtaining application information from the local controllers; and providing the application information to the user.
A method of provisioning a self-provisioning computer system is disclosed.The method includes executing code in a secure base activation image to perform various functions.This includes executing an identification process, using a cryptographically created identifier included in the base activation image, with an activation service to confirm an identity of the computer system with the activation service.This further includes confirming system integrity of the computer system with the activation service. Based on confirming the identity of the computer system and confirming system integrity of the computer system, The computer system is unlocked for load installation.Load installation is performed by providing capabilities for the computer system to the activation service and receiving the load based on the provided capabilities.