Experience

Railspire

• United States
• Automation Machinery Manufacturing
• 1 - 100 Employee

• VP Engineering & Chief Data Scientist

  • Mar 2021 - Present

  Formed company alongside co-founder Greg Hrebek after envisioning a revolutionary approach to autonomous train control Scaled company from 3 to 15 employees, raised significant capital to fuel company growth, drove product development from concept to an MVP under field test Lead engineering development of autonomous train control products with responsibility for the implementation of product vision from concept to reality Pioneered Non-linear Model Predictive Controller (NMPC) Movement Strategy Engine for train handling control Created a network-based system approach for autonomous locomotives to learn from shared experiences Show less



Hitachi Global Digital Holdings

• Ft Worth, TX

• Analytics Subject Matter Expert - Hitachi Social Innovation Business

  • May 2020 - Mar 2021

  Managed architecture, design and prototyping of potential IOT-based product offerings and integrations with a focus in algorithm and data pipeline development Authored thought leadership papers that drove and described Hitachi’s technology development and acquisition strategy Drove internal data strategies and designs for normalization across multinational data science and data engineering teams Managed architecture, design and prototyping of potential IOT-based product offerings and integrations with a focus in algorithm and data pipeline development Authored thought leadership papers that drove and described Hitachi’s technology development and acquisition strategy Drove internal data strategies and designs for normalization across multinational data science and data engineering teams



Progress Rail, A Caterpillar Company

• United States
• Railroad Equipment Manufacturing
• 700 & Above Employee

• Director of Artificial Intelligence

  • Oct 2018 - May 2020

  Held responsibility for the rapid development and management of all underlying technology for behavioral-based control systems that were applied to achieve field deployment in 8 months Served as the subject matter expert on artificial intelligence & machine learning, responsible for the communication of the technology and translating business outcomes to the Executive Leadership (CXO/VP level) of the customers Accelerated intrapreneurial efforts utilizing only $250K in seed money to grow and scale tangible solutions and achieve a 3 year $20M commitment from the business in continued funding Managed multiple teams of senior engineers (systems, software, data science) on the architecture and development of AI/ML-based solutions Show less



Predikto

• Senior Data Scientist

  • Oct 2016 - Oct 2018

  Played significant role in the successful exit through acquisition by United Technologies Corporation, responsible for data science aspects of the due diligence process Held responsibility for the end-to-end solutioning of predictive analytic models that included technical (ETL, Feature Engineering, Modelling, and Metrics and Validation) as well as business outcomes Partnered with Solutions Architect, Data Engineers/Architects, and Sales in order to provide custom predictive analytics solutions, with a focus on identifying ways to operationalize analytical methods to drive business value Built experience in accounting for, leveraging, and communicating the paradoxical relationship between model performance/accuracy and gained business value based on the cost of incorrect predictions Show less



New York Air Brake

• United States
• Railroad Equipment Manufacturing
• 200 - 300 Employee

• Senior Product Develpment Systems Engineer

  • Jan 2013 - Oct 2016

  Served as Subject Matter Expert and technical lead for development/validation of high fidelity dynamic models for the purpose of real-time simulation, system control, and accident investigation Managed the technical aspects and led the development and implementation of predictive control strategies currently being used on class 1 railroads, both international and domestic, including the world’s first fully autonomous freight train. Control strategies demonstrated 5-7% improvements in fuel efficiency, a 6% network speed increase. Architected predictive maintenance solution for rail cars based on logged PTC system data and simulation-based analytics (digital twin) Developed Bayesian-based sensor fusion algorithms to determine high fidelity track topology breaking customer dependency for track data. Resulted in a 40% reduction in effort Designed machine learning/optimization schemes for enhanced speed scheduling based on dynamics of past train runs becoming the cornerstone of product pacing technology. Simulations showed 8% less dwell time Show less