Biomedical Systems Engineer · Medical Devices

Biomedical sensing systems from prototype to clinical use.

Biomedical engineer leading the translation of novel sensing technologies into wearable and implantable medical products through miniaturized hardware, AI/ML analytics, and cross-functional leadership.

Focus Medical devices

Hardware · validation · data

Systems range R&D

Prototype → validate → transfer

70% → 96%

FlowSense Home field reliability improved from initial Gen 1 home device to final Gen 3 clinical study

6 weeks → ~3 weeks

20–30 clinical-study device build cycle reduced across sensor design, builds, encapsulation, testing, and documentation

3,000+

hours of physiological/device data collected across Rhaeos sensing programs

200+

HA Connect datasets reviewed to improve sensor 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.