Supporting Generative AI initiative and optimized/accelerated inferencing for LLMs, vision and traditional tabular models across the Americas by leveraging the Nvidia Triton Inference Server, part of the Nvidia AI Enterprise software suite.

AI technical/sales lead for the Financial Services Industry and Manufacturing Operating Units at Microsoft across the U.S., and strategic customers in higher education and Latin America.Provided customer training, created demonstrations, and materially supported PoCs/pilots for Azure OpenAI, Azure Machine Learning across AutoML (No-Code/Low-Code), AML Designer (Low-Code), and Jupyter Notebook (Pro-Code) user experiences.Provided customer training, created demonstrations, and materially supported PoCs/pilots for Azure Cognitive Services, a collection of customizable pre-trained models supporting Language, Speech, Text Analytics, Computer Vision/OCR, Custom Vision and Azure OpenAI Service.Created a repeatable vision analytics system (formally adopted as a Microsoft US Solution Accelerator) for Edge building reusable containerized capture, inference, and business process applications that integrate with Azure Machine Learning AutoML for Images as well as Azure Cognitive Services, and is deployed using Azure IoT Edge.Created repeatable examples of GPU acceleration on containerized machine learning models for hardware ranging from constrained to server-class, across ARM64 and AMD64-type architectures where none existed previously.

Provide technical guidance and cloud architecture design/validation for IoT projects to Fortune 500 and other large Enterprises in the North Central Region of the US. Serve as SME for IoT PaaS/SaaS offerings, including Azure IoT Central, Azure IoT Hub, Azure Device Provisioning Service, Azure IoT Edge, Azure Stream Analytics, Azure Time Series Insights, Azure Maps and Azure Digital Twins. Serve as global SME for IoT security, assisting with best practices for X.509 certificate management, hardware root of trust integration and device manufacturing considerations.Operate as an extension of the Product Engineering at Microsoft, identifying and supporting customers in Private Preview for new products and features, as well as provide critical product feedback. Facilitate customer hackathons/POC/POT motions to prove viability of IoT projects, moving from concept to functional models. Sponsor and nominate customers for our IoT/AI Insider Labs to accelerate IoT projects to accelerate production workloads. Create repeatable IP for general re-use, i.e. architectural patterns, Azure Functions, device firmware, project tutorials/labs, etc. Educate and train internal and external resources (Partners) on the latest features and implementation of PaaS services. Present and evangelize Azure IoT at trade show, convention and academic institution engagements.

Provide technical guidance specific to embedded cellular development, certification and solution deployment across a 12-State region, including Minnesota, Iowa, Missouri, Kansas, North Dakota, South Dakota, Nebraska, Illinois, Wisconsin, Florida, Alabama and Georgia.

Provide technical acumen, education and device development overlay support across a Regional data team of six Advanced Solutions Architects and a sales team of 56 professionals in Western Wisconsin, Minnesota and North Dakota. Work with identified accounts to enable cellular development at the device, embedded modem or embedded module level (SMD) level. Engage with solution developers to optimize business plans, including use case and marketing requirements review. Review and consult on the subsequent engineering requirements to determine the appropriate device, embedded modem or embedded module choices to fit the parameters for the use case(s) as the Verizon Open Development (OD) SME for the Region. Work with device developers to certify devices utilizing SMD, board-to-board or mini PCIe / m.2 modules on the Verizon network, including activating test lines, enabling OD portal access, assisting with documentation and serving as the liaison between Open Development (OD) and the developer.Enable resale of IoT / M2M lines of service through negotiated contracting and custom pricing to substantiate the ROI for solution providers. Engage with vetted IoT ecosystem partners to provide platform (PaaS) and/or System Integrators (SI) to provide product delivery for solution providers, inclusive of virtualized or co-located Cloud services through Verizon Cloud (formerly Verizon Terremark) or other third-party Cloud services providers. Secure the connectivity to the mobile end points through utilization of Verizon Private Network and M2M Management Center (M2M MC), including integration of our M2M MC Unified Web Services (APIs) to enable intranet, extranet and other back-office functionality.

Identify and promote cellular data devices and application solutions in a collaborative capacity for small-to-medium businesses. Support and continually educate a staff of ten B2B sales executives to facilitate wireless data sales through tablet and connected device deployments. Assist in the hardware selection and development process for companies looking to deploy cellular-enabled solutions, including enabling the resale of cellular lines of service. Specify methodologies to secure, streamline and manage both data and connected devices within M2M ecosystems, including implementing Verizon Private Network, M2M Management Center and Unified Web Services (APIs).

Identify and promote cellular data devices and application solutions in a collaborative capacity for small-to-medium businesses. Support and continually educate a staff of ten B2B sales executives to facilitate wireless data sales through tablet and connected device deployments. Assist in the hardware selection and development process for companies looking to deploy cellular-enabled solutions, including enabling the resale of cellular lines of service. Specify methodologies to secure, streamline and manage both data and connected devices within M2M ecosystems, including implementing Verizon Private Network, M2M Management Center and Unified Web Services (APIs).