Kevin Fox

About Kevin Fox

Development Engineer specializing in motor control and embedded systems within a regulated medical device environment.Across my career, hands-on engineering experience, combined with a practical understanding of AI, data science, and algorithm development; has shaped how I identify the magnitude and location of opportunity inside complex systems and organizations. I view modern tools not as replacements for engineering judgment, but as force multipliers(what calculators did for finance) when applied with strong domain context.Over the past year, my primary focus has been motors, including tuning multiple BLDC motors under FOC control to achieve fast acceleration, smooth torque delivery, and stable speed regulation across operating conditions. This work is grounded in applied physics, where electrical behavior, thermal response, mechanical wear, and control stability intersect.In parallel, I’ve spent significant time on sensor validation in support of control and diagnostic algorithms, ensuring signals are accurate, repeatable, and trustworthy before they are consumed by firmware and higher-level logic.My embedded development spans STM32 and TI platforms MSP430), using FreeRTOS where appropriate and CMake-based build systems to support portable, maintainable firmware workflows. On the analysis side, I use Python and Jupyter notebooks to structure test data, explore feature correlations, and extract early ML-style insights from motor and life-test datasets.I hold a B.S. in Software Engineering and enjoy work that connects motors, sensors, firmware, controls, and data. You\'ll find me where rigorous engineering and practical decision-making must coexist.

Experience

1. Development Engineer

   Philips

   Apr 2024 — Present · Pittsburgh, PA, US

   Designed, implemented, and tuned embedded motor-control systems supporting medical device development, including precise, repeatable actuation and closed-loop controlTuned BLDC motors under FOC control, targeting fast acceleration, smooth torque delivery, and stable speed regulation across operating conditionsDeveloped motor-driven valve control systems, integrating stepper motors, drivers, and embedded firmware to eliminate manual operation and improve system consistencyPerformed sensor validation in support of control and diagnostic algorithms, ensuring signal accuracy, repeatability, and reliability prior to software consumptionSupported long-run life and system testing by integrating motor control, instrumentation, and data analysis across electrical, thermal, and mechanical domainsServed as a driving force for the practical use of AI, machine learning, and data science, incorporating these techniques directly into engineering workflows rather than treating them as standalone effortsBuilt Python and Jupyter-based analysis pipelines alongside embedded firmware, using notebooks to process test data, explore feature correlations, and inform control and diagnostic algorithm developmentDeveloped embedded firmware across STM32 and TI platforms MSP430) using FreeRTOS and CMake-based build systems to enable portable, maintainable workflowsBuilt Linux-based Qt GUIs using thread-safe, memory-efficient design practices to support engineering control and visualization needsAutomated data transfers between engineering and documentation systems, improving traceability, data quality, and reducing manual workloadCollaborated across hardware, software, and test teams to develop test methods, fixturing, and automation support

Education

• Penn Trafford High School

  Diploma, Electrical and Electronics Engineering

  1993 — 1997

• Penn State University

  Bachelor of Engineering - BE, Software Engineering

• ITT Monroeville

  Associate's degree, Electrical and Electronics Engineering

  1999 — 2001