Biomedical Systems Engineer · Medical Devices

Biomedical sensing systems from prototype to clinical use.

I engineer wearable and implantable medical-device platforms across sensing hardware, flexible and skin-safe interfaces, wireless systems, validation, reliability, manufacturing support, physiological data workflows, and ML/AI-enabled analysis.

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Focus Medical devices

Hardware · validation · data

Systems range R&D

Prototype → validate → transfer

70% → 96%

home-use wearable sensor field reliability improved after resolving hardware, packaging, and workflow failure modes

4 weeks → ~1 week

100-device build cycle reduced through manufacturing process improvements and clearer build documentation

3,000+

hours of physiological data collected across clinical, preclinical, and home-use sensing studies

200+

home-use sensing datasets reviewed to improve signal quality, algorithms, and device workflows

Capabilities

Where I create the most value.

01

Wearable and implantable sensing systems

Miniaturized medical-device platforms using flexible electronics, adhesives, encapsulation, thermal sensing, BLE/NFC, wireless power, and sensor integration.

02

Validation, reliability, and regulated development

Requirements, test procedures, FMEA, V&V workflows, inspection records, travelers, reliability debugging, and FDA-ready technical documentation.

03

Physiological data and ML/AI workflows

Signal processing, feature engineering, model evaluation, bias and overfitting checks, visualization, automation, and tools that turn sensor data into decisions.