Zeydy Ortiz, Ph. D. Email & Phone Number

Cary, Nc, Us

The DHS AI Corps is a new initiative by the U.S. Department of Homeland Security (DHS) to bring 50 AI experts from the private and public sectors to play pivotal roles in responsibly leveraging AI across strategic mission areas in the Department. The AI Corps will bolster the DHS workforce with experts in AI and Machine Learning (ML) technologies, models, and applications who will support policy initiatives to ensure the safe and secure use of AI, while protecting privacy, civil rights, and civil liberties.

• Define key business problems to be solved and formulate analytical approaches to solve them• Perform highly complex analytical projects from data exploration, model building, performance evaluation and testing• Collaborative approach to problem solving with a focus on user-centered design• Consulting Data Scientist: Vijilent, ICMM, Home Lending Pal• Research Scholar: LAS• AI/ML Consultant: EY

• Produced technical content for “System x and BladeCenter Virtualization Sizing Guides” - capacity planning tool for virtualized workloads• Directed remote team in the performance analysis of cloud solution. Provided design recommendations for controller, compute and storage servers in cloud reference architecture.• Established ENERGY STAR lab for measuring the performance and energy efficiency of Lenovo servers guiding efforts of power and environmental test engineers

Lead Performance Engineer responsible for directly influencing the design of all System x, BladeCenter and Flex products by evaluating performance, delivering product positioning and performing competitive analysis of proposed solutions.• Produced novel approach to size capacity of servers to host virtual machines that allows greater consolidation while maintaining performance. Trained junior engineer in methodology.• Provided expert consultation in the design of solutions for teams assisting clients solve critical business needs in the area of server consolidation and virtualization of data centers. • Managed development of automation tool by a vendor. Provided requirements, crafted Statement of Work, and supervised progress. Determined acceptance criteria and conducted reviews and tests. Managed vendor relationship to provide fixes and maintenance.• Provided compute capacity of System x, Flex and PureFlex Systems for IBM Systems Workload Estimator – web-based sizing tool to size a new system, upgrade or consolidation of systems• Analyzed hardware utilization statistics to model workloads. Determined trends to project future resource requirements. Guided server development with performance recommendations.• Participated in the design of server and cloud solutions with focus on balancing performance, features and cost.• Characterized workloads for various application environments – HPC, web, databases, virtual, cloud computing, etc. – identifying key system requirements including computing capability, memory capacity and bandwidth, storage and network resource requirements• Developed algorithm for optimal dynamic allocation of resources to reduce energy used in building for the “Dynamic Work Spaces - a Smarter IBM BizTech Project.” Won first place in IBM NC Technical Expert Council Fall Conference based on business merit, quality of presentation and technical value.• Participated in the Leadership Excellence University and LEADing@IBM programs.

Consultant in the Performance Scalability Planning team for the Networking Systems Competency group. Modeled and simulated customer's network infrastructure, applications and traffic for capacity planning purposes. Studied the impact of deploying new applications on the performance of other applications using the same network resources.

Network Performance Engineer responsible for the characterization and analysis of network traffic measurements.

Ph D, Computer Science

Thesis Topic: Techniques for Supporting Multicast Traffic in Broadcast WDM Networks

Master'S, Computer Science

Bs, Computer Engineering