Engineered a distraction-reducing pager system that sends whitelisted iPhone call events over custom BLE services to an ESP32 with an OLED caller display and haptic alerts.
Produced an end-to-end mobile and embedded hardware architecture with low-latency notifications and contact-specific vibration patterns.

Led a team to design a head-mounted IMU wearable that outperformed Apple/Garmin watches by 60%+ in stride rate, length, and vertical oscillation accuracy using custom Python/R algorithms.
Achieved <5% error in controlled trials, developed functional prototype with secure head placement, and iterated designs based on client feedback.

Developed high-impact MR training modules for Biomedical Equipment Technicians (BMETs), integrating Unity-based prototypes with surface detection and device integration.
Designed an immersive, non-factory MR training program to enhance real-world equipment troubleshooting.

Developed a functional prototype for an infant sepsis monitoring device using Arduino and 3D-printed components.
Successfully presented to a student audience, demonstrating prototype functionality.

Researched and designed a femur plate implant optimized for osteoporosis patients, incorporating surgical requirements and biomechanics.
Produced a clinically viable design, refined with surgeon feedback, and prepared for evaluation.

Designed a sustainable water distribution system utilizing rainwater collection and extensive mathematical modeling.
Developed a prototype system improving water access for remote communities and presented findings to expert engineers.

Designed and programmed an Arduino-based robotic claw with precise motion control.
Completed functional prototype and operational demonstrations.
Built a MATLAB pipeline that converted accelerometer streams into velocity and displacement estimates using numerical integration, FFT analysis, and zero-phase Butterworth filtering.
Benchmarked calculated displacement against a physical control and identified sensor drift, vibration, and non-uniform acceleration as key error sources.
Developed a Python image-processing pipeline using median filtering and CLAHE to improve chest X-ray clarity and examine brightness and texture differences between healthy and infected lungs.
Evaluated the enhancement workflow against contrast, signal-to-noise ratio, and spatial-resolution considerations.
Captured and processed B-mode, Doppler, and elastography ultrasound data, applying filtering, contrast adjustment, and unsharp masking to liver and vascular scans.
Quantified lesion dimensions and blood-flow direction while evaluating contrast, spatial resolution, and signal-to-noise ratio.
Implemented a MATLAB workflow for baseline-wander and noise removal, peak detection, derived cardiac metrics, outlier detection, and threshold refinement.
Documented objective before-and-after quality metrics and produced presentation-ready visualizations of the processed signals.