SERGIO PEÑA

Acoustic Engineer (Contract, LTTS) — Reality Labs Audio Experience, Wearables Audio Tuning Team (WATT) — Ray-Ban smart-glasses tuning

• Drove speech-quality KPI assessment for shippable Ray-Ban tunings using HEAD acoustics ACQUA (POLQA, PESQ, 3QUEST)
• Refactored the 360° spatial-audio measurement CLI (turntable, stimulus, mic array): eliminated manual user inputs to remove operator error and added a full paper trail of test conditions
• Built a mic-health validation tool that pre-screens channels and catches frame drops and dead mics
• Architecting a full-stack device control center (React + FastAPI) with a visual workflow editor for codeless test automation
• Shipped a fleet portal and database covering 19 product families (QR scanning, analytics, Brother label printing)

Electronic Noise / Mic Co-Existence Engineer (Contract, CPrime)

• Owned eNoise spec compliance for next-generation Apple devices (iPhone 17 Pro, M5 MacBook Pro line) — held the acceptance bar against the team's hard acoustic criteria, gating launch readiness
• Drove cross-functional root-cause and remediation with mechanical, electrical, and product-development partners when units failed spec
• Architected automated acoustic test suites for spec compliance
• Built BASH / Python / MATLAB / JMP scripts for measurement processing

Principal Acoustic Engineer

• Led acoustics / DSP efforts for Marine Systems
• Applied SEA models to reduce SSN(X) equipment noise
• Analyzed CVN-80 rotational vibration data; developed test viability strategy presented to leadership and Navy

Audio Systems Acoustic Test Engineer (Contract, YOH)

• Executed anechoic playback-quality testing and UX listening studies for Pixel 9
• Accelerated lab throughput by reorganizing inventories
• Assisted display team with root-cause analysis of early-field failures

Electronic Noise Engineer (Contract, CPrime)

• Investigated eNoise across MacBook, iPad, and Mac Mini
• Executed Laser Doppler Vibrometry and acoustic-camera testing for failure analysis
• Led eNoise efforts on the 2023 M3 MacBook Pro architecture
• Pioneered autoencoder-based 1D measurement anomaly detection

Audio Software QA Engineer

• Evaluated wake-word, AEC, VoIP, and playback quality for Alexa devices
• Developed sequential Bayesian testing to reduce test time by 30–60%
• Automated SoundCheck suites via Python / MATLAB
• Developed vision-based convolutional neural network model for robust barge-in detection

Acoustic Engineer

• Verified subsystem noise requirements for the 777X
• Built MATLAB ray-tracing tools predicting ramp noise
• Modeled complex wave diffraction in VA-One for ramp-noise prediction
• Delivered field-data apps built in MATLAB to engineers

Acoustic / Vibration Engineer

• Managed environmental noise and vibration compliance for academic, medical, and residential projects
• Deployed and maintained in-house remote monitoring stations for continuous data acquisition
• Monitored noise in animal research facilities to maintain welfare-driven thresholds
• Oversaw continuous noise monitoring during VA Hospital expansion, minimizing patient disturbance