Robert Walsh Email & Phone Number

Concord, North Carolina, United States

Lead end-to-end development of AI/ML models for GM Motorsports live races including custom algorithm creation, architecture modernization, and performance enhancement. Conduct code reviews, ensure quality, and facilitate smooth releases. Direct performance engineering analytics subteam, managing projects to align with business goals.• Lead the development of a custom k-nearest neighbors gradient descent algorithmwithin the PyTorch framework, enabling closed-loop optimization of black-box numerical functions and vehicle simulations, resulting in the discovery of global optimum vehicle setups while reducing computation power by 98%.• Develop a streaming data interpolation algorithm utilizing PySpark within Databricks, allowing for instantaneous comparison of driver metrics in real-time during live races with minimal delay.• Maintain and enhance live race AI strategy models, which are extensively utilized by key partner teams in NASCAR and IndyCar, contributing to winning outcomes in 5 out of the first 8 NASCAR races during the 2024 season.• Guide the software architectural discussions and strategic planning to modernize a decade-old codebase of live race strategy models, resulting in the adoption of contemporary software standards, significant reduction in cyclomatic complexity, and notable runtime enhancements.• Contribute as a key code reviewer for all GitHub repositories, ensuring code quality before merging into the development branch, while also facilitating seamless releases from development to staging and production environments, thereby minimizing downtime in production code.• Lead the performance engineering analytics subteam, overseeing the management of current project statuses within the backlog, and providing guidance in planning and prioritizing upcoming projects that closely align with key business objectives.

Boston, Massachusetts, United States

Applied data science methods to model complex systems. Utilized system dynamics principles and computational models to drive strategy. Communicated findings with simplified visualizations to non-technical stakeholders. Pioneered department’s first data science initiative.• Applied latent factor analysis techniques to validate the presence of distinct customer mindsets within survey data. Conducted A/B tests on segmented populations to establish statistical significance and derive meaningful insights. Leveraged findings to shape strategic decisions related to the future of performance vehicles.• Developed a web-scraping application utilizing Python to target and collect 1 million customer conversations. Implemented unsupervised machine learning algorithm to quantitatively triangulate and reinforce qualitative social science research.• Created a numerical simulation using Python to model complex time-varying interactions of a proposed hybrid B2B-B2C service.• Developed a network model combining Bayesian principles and graph theory to analyze customer engagement in various activities. Calculated probabilistic associations among activities to identify key target markets based on customer behavior patterns.

Detroit Metropolitan Area

Utilize human-centered design thinking principles to guide future products and services within the Icons product line, including the Ford Bronco and Mustang. Apply product design and user experience (UX) methods to create innovative and compelling product and service opportunities for the Ford brand. Oversee the workflow of the development, assessment, and implementation of prototype product and service offerings. Guide executive strategic decision making through communication tools such as storytelling, customer narratives, and prototypes of key opportunities and solutions. Lead with a data driven mindset to reinforce customer research. • Owned the execution roadmap of innovative product and service offerings from initial ideation to customer delivery. • Champion innovative ideas to senior management and executives to secure funding and resources. • Performed A/B testing using Python on automotive vehicle purchasing data to estimate the total addressable market for Bronco vehicles.• Utilized Python to perform Monte-Carlo financial projection simulations to assess the viability of a proposed future service

Allen Park, Mi

Used a combination of computational fluid dynamics simulation software tools, such as openFOAM, StarCCM+, and Paraview to drive continual aerodynamic performance improvements for Ford Performance Racing vehicles. Developed in-house tools and best practices to streamline the simulation and reporting process within Ford Performance. • Functioned as the in-house core Ford aerodynamic specialist at Stewart-Haas Racing, performing DOE statistical analysis of transient NASCAR CFD in openFOAM, StarCCM+, Mode Frontier, and Python to achieve 10 wins and 30 top-five finishes in the 2020 season.• Reduced engineering reporting time by 80% through the development of an automated reporting tool using LaTeX and Python.• Aerodynamic design and analysis of motorsports race car bodywork including: first Mustang for 2019 NASCAR Monster Energy Cup Series, and rear bumper / underbody diffuser for 2018 WRC world championship winning MSport Ford Fiesta rally car• Thermal design and management of brake and battery systems, including convection, radiation, and conjugate heat transfer analysis

Livonia, Mi

Applied systems engineering principles to root cause and solve complex problems related to automatic transmissions. Utilized MATLAB to perform statistical analyses on large datasets to assess trends related to product manufacturing and performance.• Implemented a company-wide surface finish specification through the use of causal modeling and statistical analysis to develop a random forest machine learning classification algorithm to predict micro-surface finish of transmission components in MATLAB.• Simulated transmission torque loss using vehicle fuel economy dynamometer test data for entire Ford fleet• Organized build timing for Transmission/Driveline calibration vehicles using MS Project • Led root cause analysis for hydraulic draining issues on FWD transmission at extreme cold temperatures (-40C) for various vehicles

Ronkonkoma, Ny

-Designed and implemented an experimental catalytic flow reactor-Designed an explosion proof data acquisition system for use in natural gas rich environment

Masters, Applied Business Analytics, 3.94

Bachelor Of Engineering - Be, Mechanical Engineering

Activities and Societies: Formula SAE (Cooper Motorsports) Captain and Chassis/Aero Lead. Senior Project: Design of a Formula SAE.