Resume

• Led development and integration of automated test equipment with international suppliers, ensuring successful deployment and regulatory compliance while reducing cycle time by 33%.
• Designed and enhanced testing systems for digital and analog electronics.
• Reduced high-risk manufacturing failure modes by over 75% for two consecutive years.
• Coordinated network and electrical infrastructure renovations (fiber, CAT6, 3-phase 480V) to support new manufacturing lines.
• Achieved site Smart Factory certification through robotic process automation, smart torque drivers, vision systems, and E-ink tags.
• Maintained legacy software and implemented a new manufacturing execution system site-wide.

• Led development of robust autonomous surface vessels for the US Army and Navy using ROS.
• Established metrics quantifying degradation of LIDAR sensor data, published by SPIE.
• Trained multi-modal neural networks utilizing human feedback and data augmentation.

• Authored schematics and lesson planned for undergraduate Circuits II & C/C++.
• Instructed creation & debugging of analog circuits using multimeters, oscilloscopes, and function generators.

• Created neural networks using transformers to generate and interpret natural language for summarization topics.
• Trained models, constructed user interfaces and implemented the Zoom API using Python, HTML, and JS.
• Coauthored research publications published by Michigan Technological University.

• Designed and fabricated line fixtures to improve processes, provided over $17,000 in savings.
• Created work instructions to improve the de-burring process and reduce cycle time.

Accepted into the accelerated master’s program to conduct sponsored research with the US Army and Navy on developing robust autonomous vehicles. My research focused on robotics platform development, data collection, and publishing research findings. One of my key publications introduces metrics for quantifying the degradation of 3D point clouds due to sensor perturbations.

Developed a strong foundation in both theoretical and practical aspects of the field. I engaged in various hands-on projects, including working with microcontrollers, designing circuits, and working on software applications. My coursework and undergradute research supported my passion for innovation and problem-solving, which has prepared me for graduate school and future professional challenges.