JOSEPH BROOKS

I am an Electrical and Computer Engineer with over four years of experience delivering AI-enabled solutions in industrial manufacturing, automation, and electrical system design. My work centers on deploying data-driven technologies directly on the factory floor—bridging electrical engineering, software, and advanced automation to improve reliability, quality, and operational efficiency.

At Scout Motors, I operate at the intersection of manufacturing, AI, and robotics, working directly with factory teams to identify and execute high-value automation and diagnostic opportunities. I actively contributed to Scout’s KVS initiatives and participated in the development of two patented systems: DDES (Defect Detection & Evaluation System) and Scout FORGE (Failure Origin & Resolution through Generative Evaluation). My role involved translating real production-line challenges into deployable AI architectures, integrating defect detection, root-cause reasoning, and structured knowledge capture into scalable factory workflows. I regularly presented technical concepts, system designs, and progress updates to major internal stakeholders, ensuring alignment between engineering execution and manufacturing leadership.

In addition, I helped bridge external innovation resources into Scout’s manufacturing ecosystem, including collaboration with university-affiliated research assets such as Boston Dynamics robotics, supporting early exploration of robotics-enabled inspection, diagnostics, and automation use cases across body, paint, and assembly operations. Within the Pilot Hall, I developed critical software supporting the test bench environment and, within weeks of deployment, designed and implemented an active cooling systems stabilize test bench operation—enabling reliable data collection and accelerated pilot validation.

Previously, at International Paper’s Valliant, Oklahoma box plant, I led the development of sensor-based monitoring systems for critical machinery, applying vibrational analysis and AI-driven predictive models to detect early signs of mechanical wear. These systems materially reduced unplanned downtime and improved equipment reliability. I integrated SAP for maintenance tracking and worked extensively with Rockwell Automation platforms, including Allen-Bradley PLCs and ControlLogix systems, to deploy monitoring and control solutions in a live manufacturing environment.

As an Electrical Engineering Designer at Schneider Electric, I designed low- and medium-voltage electrical systems for industrial and commercial facilities, producing detailed schematics using AutoCAD Electrical and EPLAN. My responsibilities included power distribution design, protection schemes, cable routing, and automation panel layouts, with direct integration of PLCs, HMIs, and SCADA systems to support real-time data acquisition and advanced automation initiatives.

Across roles, I bring a systems-level mindset, strong factory-floor engagement, and the ability to convert complex technical problems into deployable, production-ready solutions. My background uniquely positions me to contribute to Scout Motors by combining electrical engineering rigor, AI-driven diagnostics, robotics integration, and hands-on manufacturing execution.

• Developed and integrated vibrational predictive maintenance technologies, using sensor-based monitoring systems to detect early signs of mechanical wear and prevent failures.
• Implemented AI-driven predictive models to forecast machinery failures, reducing unplanned downtime and optimizing maintenance schedules.
• Designed and developed electrical systems for industrial and commercial applications, including power distribution, control panels, and automation systems.
• Provided technical support during installation, commissioning, and testing phases, troubleshooting and ensuring system reliability.
• Led a team of employees, providing training and supervision to maintain high standards of customer service and operational efficiency.
• Analyzed sales data and customer trends, developing strategies to drive revenue and improve service quality.

• Certified in Vibration Analysis for predictive maintenance and failure detection
• CompTIA Network+ Certified – Proficient in network infrastructure, protocols, and security
• Linux+ Certified – Strong understanding of Linux systems, shell scripting, and system administration
• Proficient in C++, Java, Python, and Bash scripting
• Developed machine learning models for predictive maintenance and industrial AI applications