Bryan has recently joined NVIDIA as a senior product manager in the autonomous vehicles group. He currently manages the core AI platform that 500 data scientists use to train and build models for use within self-driving cars for NVIDIA's partners and customers.

Current Projects:* Spearheading Arm’s IoT machine learning efforts by developing the strategic vision and then leading the product development on creating an end-to-end IoT solution for building, optimizing, and deploying machine learning models directly to edge devices. New tools reduce model deployment time from over an hour to just minutes.* Developing Arm's partner program for IoT machine learning, including the go-to-market plans, use cases, value propositions, and revenue share models.* Leading collaboration efforts across five business units in an effort to create a common theme and workstream around Arm's machine learning initiatives.* Coordinated a team to create an ‘Arm Customer Journey’ path to help increase customer engagement and technology design wins in our developer ecosystem.Past Projects:* Chaired the PoC product development of a new Arm IoT product that extracted value from IoT device and connectivity metadata. Product is now in production as part of Arm's Pelion offering.

Bryan was a Senior Manager focusing on Technology Strategy and new strategy business opportunities at Silicon Valley Data Science.Selected Project Experience:* Major Financial Services Firm - Bryan created a data product migration plan for a $1.5 trillion AUM Investment Management Firm to help portfolio managers reduce query times by 18X and increase user concurrency by 16X. Recommended new platform components included MemSQL, Hadoop, Impala, and MicroStrategy.* Data Governance Lead - Bryan led the development of new strategy assets for SVDS, including an operating model and governance knowledge base, helping to build a new business around data governance for SVDS. Bryan spoke on new strategies and ideas around data governance at the Dataversity Conference in Chicago in November 2017.

Bryan was a Manager focusing on Technology Strategy and Products at Silicon Valley Data Science. It this role, he was responsible for developing custom product plans and strategies for companies that provided them an actionable roadmap and the accompanying tools to achieve their business objectives through data technology.Selected Project Experience:* Global Athletic Brand - Bryan authored the technical product strategy for the retail analytics team at a global athletic brand to help them enable seven new analytics initiatives, including customer journey mapping and standardizing the production of analytical models. * Industrial Manufacturing Client - Bryan developed the product business case, PoC, and data security strategy for a Fortune 50 manufacturing client that allowed them to centralize governance of export controlled data and manage data ownership risks across their $6 billion IoT Platform. * Data Governance Manager - Bryan spearheaded the development of new strategy assets, including an operating model and governance knowledge base, so that the company could address new client opportunities

Bryan was an Associate Principal in the Data Insights group of Accenture Technology Labs. He was part of the Digital Customer Initiative, where he delivered technology strategies, advised client execs, developed thought leadership, and managed product development for retail technology strategy and innovation, with a focus on big data architecture and analytics. Prior to his role on Digital Customer, Bryan was the Development Lead for Content Analytics at the Technology Labs and also designed the technical architecture for the Customer Loyalty System at a global energy client.Selected Project Experience:* Media & Entertainment Client Data Strategy - Bryan designed a new data ingestion and storage architecture and advised client directors on a content discovery strategy to serve twenty million customers at a large media and entertainment client* Digital Customer - Bryan managed a team of seven to develop the Accenture Customer Genome, a retail analytics personalization platform that leadership presented at SXSW and is currently in production worldwide, serving up to ten million consumers per client.* Development Lead for Content Analytics - Bryan led two client projects revolving around competitive intelligence and web content analytics. He also took charge to develop a company pilot on content analysis for big data sets.* Customer Loyalty System - Bryan helped to design and build the network, infrastructure, and technical architecture for a new customer loyalty system at a large energy client. His primary work focused on cloud computing, virtualization, and Cisco networking technologies.Additional Experience and Skills:* Project Management* vSphere* Cisco IOS* Microsoft Azure* TCL/Expect Programming

Bryan was an analyst in the development group of Accenture Technology Labs. His primary focus was in developing new infrastructure solutions that Accenture will take to clients. Bryan worked extensively in: cloud computing, mobility, configuration management, and open source software applications.Selected Project Experience:* University IT Strategy - Bryan assisted a large state university with developing its future IT strategy for cloud computing. Bryan also developed initial project roadmap and conducted a current state assessment of the university's infrastructure.* Open Source Enterprise Cloud - Bryan helped to develop an Enterprise Cloud stack completely out of open source components. Bryan's areas of focus were: virtual compute, object storage, and configuration management. Bryan also teamed to begin moving the open source solution from a prototype to an industrialized asset.* iPhone App for Health Care client - Bryan developed a prototype iPhone application that would assist end users in viewing health care and benefits information from a mobile phone.Additional Experience and Skills:* Amazon Web Services* Oracle BI* Python scripting* Linux (Ubuntu)* Objective-C

Performed extensive research on data centers and the data center industry. All relevant information was then compiled into a business case investigating a company entrance into the data center design market.Responsibilities:* Examined methods of entrance (solo, acquisition, and joint venture).* Analyzed factors necessary for competitive advantages in data center market.* Investigated additional entrance option of data center retrofitting business.* Evaluated current market players in data center design (for acquisition or joint venture options).* Extensively researched data center technologies, including energy-efficient data centers.* Calculated future market value of the industry.

Wrote a software program that would take signal data from SPI and I2C Bus systems and perform parsing functions.Responsibilities:* Created MATLAB program that would allow functionality of parsing signal data through either SPI or I2C systems.* Implemented GUI capabilities in software to make the program more user-friendly.* Studied and tested different algorithms to improve program memory usage and run-time.

Determined the cause of the data inaccuracies for corrosive compounds in diesel production lines and presented possible solutions to develop standardized diesel sampling and testing techniques.Responsibilities:* Gathered samples from diesel pipeline.* Collaborated with operators and lab technicians on sampling processes and testing procedures.* Utilized computer models for material balance calculations of corrosive substances.* Improved testing equipment maintenance scheduling.* Developed standardized testing procedures for corrosive compounds in diesel line to initiate a cost-effective preventative maintenance schedule for pipelines, saving the refinery thousands in annual maintenance costs.