Daniel Oneill Email & Phone Number

Redmond, Washington, Us

Generative AI algorithms-based cloud management, optimization, and monitoring for large scale applications and cloud infrastructure on Microsoft Azure. I managed the development of prototype code and pilot trials. The technology is based on a generative (encoder) DNN model, with MRF approximations to these models. (See NMLStream, below). I created the Stanford/Microsoft research collaboration project for AIOps. Driver of the corporate wide AI-Ops initiative with CTO.

Stanford, Ca, Us

Research, product development, and teaching on Agentic AI generative models (multi-agent) for enterprise systems. Projects include 1) AIOps for performance management, problem detection, and remediation, and 2) Multi-modal adaptive AI system personalization 3) Long-tail problem/anomaly detection and classification.• Responsible for managing government and industry grants (DARPA, AFOSR, ONR, GE, GOOG, MSFT)• Two Best Paper Awards. 40 papers and patents.

Developed and marketed AI based enterprise software for cloud management and optimization on Azure and GCP. AI-Ops tools for early problem detection and localization, remediation recommendation, and resource optimization• Managed development and Product Management of new ML/AI technology tools. Iteratively validated algorithms and demonstrated AI tool’s performance advantage. Built partnerships to develop new workflow and to refine user experience. Leveraged Stanford research in MRF to instantiate prototypes. Speaker at academic technology conferences on AIOps

Palo Alto, Ca, Us

Responsible for new technology strategy & growth Initiatives for Sun Labs. Investigating, planning, managing, and prototyping new, embryonic technologies, incubating their exploration, and inserting high impact results into product divisions. Business planning and coordination with the product divisions, driving research priorities and agendas, resourcing pilot projects, coordination with academia. Projects included applications of ML to system management and code optimization for enterprise customers, development of software defined networking concepts and prototypes, high performance CPU microprocessor architecture development. Regular reporting to management committee members.

CEO of venture backed high performance networking company. Recruited by VC's to re-structure company. Raised $35M in new VC cash. Company acquired.• Redefined product and managed engineering development and research and product management.• Hired management team: VP Engineering, VP Marketing, CFO, VP Sales. Grew company to 65 employees.• Formed software development partnerships with Monte Vista (Linux), Wind River (RTOS).

Dallas, Tx, Us

Management responsibility for software engineering and hardware engineering, product management, and customer support in US, Europe, and Asia. P&L responsibility, reporting to SVP. Integrated software and hardware solutions for signal processing, communications and IoT markets. • Started division, developed business plan, secured corporate funding, hired management team and grew to 80 person engineering team.• Managed software development partnerships with Microsoft (Windows), Wind River (RTOS), Oracle/SUN(Solaris) and Panasonic(Unix). • Directed development of line of x86 Intel compatible processors. Negotiated with Intel on IP.

New York, Ny, Us

Partner in Venture Capital subsidiary of Merrill Lynch Capital Markets. Eight direct investments: four IPO's, and three acquisitions. Investments in Enterprise Software, Communications, and Semiconductor companies. Member of eight Boards of Directors. Recruited management teams. Priced and lead financing rounds. Teamed with IB division on IPO's. For ML corporate, analysis of VC fund of fund performance.

Ph.D., Electrical Engineering

Mba