• New Product Introduction (NPI) hands on support and validation testing of QT Scanner 2000

• Spearheaded calibration and validation of medical imaging systems, enabling deployment of $22.5M in critical diagnostic hardware.

• Developed and improved tooling for acoustic mechanical index and automated calibration, increasing safety and reliability

• Created python tooling to support bin limits, test automation, CI/CD on critical product features like SNR and chest wall repeatability

• Provided essential production line systems support, debugging and resolving electromechanical and software issues. Worked with vital CMs and transducer suppliers to improve yield and MPIs.

• Created Sunset Sounds through my passion for music and electro-mechanical systems to bring HiFi to portable speakers

• Lead all major operations and roadmaps in business and engineering for a talented team of six likeminded individuals

• Managed the successful launch of our first HiFi portable speaker, Lumino, as well as numerous other 3D printed prototypes and MVPs

• Responsible for product design engineering, DFM, BOM management, and communicating with CMs and vendors for module creation

• Utilize digital signal processing (DSP) and Solidworks + CAD to improve system response, audio quality, and psychoacoustics

• Research, simulate, design, and test all audio/acoustic, electrical, mechanical, and software systems for all product lines

• Optimized and tuned audio systems with Quasi-anechoic acoustic measurements, T/S parameter adjustments, DSP, and baffle design

• Develop automated test infrastructure used in End-of-line (EOL) and reliability testing.

• Develop Uls and data visualization tools to improve the quality of insights

• Contribute functionality to Zipline's custom hardware test framework, including tools for deploying testers to remote insights provided to hardware test engineers production sites, visualization, data management, and part tracking.

• Work with hardware test engineers on the architecture of hardware test setups, including instrumentation selection, software architecture, and data processing pipelines.

• Develop software to improve hardware test coverage, touch time, and throughput.

• Champion the deployment of hardware testers to distributed production sites and sub-suppliers, interfacing directly with contract manufacturers, and working through IT, networking, and security for production test.

• Draw on electromechanical experiences to root cause test anomalies, including combinations of hardware and software failures

• Designed test procedures to characterize ultrasound/MEMS devices. Delivered impactful results to influence next-gen products.

• Developed data processing algorithms, automated test methods, signal processing techniques, and acoustic models in Python.

• Implemented creative solutions using machine learning and neural networks to bin devices and detect defects with high accuracy.

• Collected data with and operated hydrophones, a water tank measurement system, laser doppler vibrometer, IR and optical microscopes, white light interferometer, camera imaging systems, oscilloscopes, digital multimeters, and impedance analyzers.

• Participated in major design decisions for product development by collecting, processing, and presenting meaningful data reports.

AI and neural network algorithms in Matlab using biometric sensors to determine a person's mental and physical state. Used in training and real-time operations support.