
Electromechanical Engineer II with 3+ years of experience leading Environmental Qualification Testing (EQT) efforts within a complex engineering environment. Experienced in technical leadership, verification and validation, process improvement, documentation development, training, stakeholder coordination, and cross-functional project execution. Proven ability to take ownership of challenging engineering functions, build organizational infrastructure, and drive execution in lean team environments. Earned a Master of Science in Computer Science with a concentration in Software Engineering for Industrial Control Systems and a Bachelor of Science in Mechanical Engineering.
Project Scheduling, Stakeholder Coordination, Risk Tracking, Training Development, Knowledge Management, Cross-Functional Leadership, Technical Mentoring
Developed and deployed a convolutional neural network (CNN) capable of classifying handwritten digits with 95%+ accuracy using the EMNIST dataset and embedded hardware integration.