• 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.

Performed quality assurance under a small team of General Motor's MY21 AND MY22 infotainment and CSM systems.

Wrote test scripts in Python and XML for CATS, CIeNETs automated testing software

Confirmed and verified reported defects, issues, and requests through manual testing on a test bench

Taught highschool students engineering high level concepts and practices, trained them on how to independently research and develop projects. Managed social media and outreach services, setup WordPress for student documentation on our site. Worked with a small team of 4 other instructors to keep students on track for completion of their engineering projects by week 6 with documentation.