Professional Summary
Embedded systems engineer with 7+ years of hands-on firmware and electronics development, from prototype through production, in regulated (IEC 62304 / ISO 13485) medical and automotive systems. Core strengths: real-time firmware (C/C++, RTOS and bare-metal), sensor integration, BLE/IoT and CAN connectivity, and translating clinical/user requirements into buildable system architectures. Also brings recent experience directing engineering strategy, design controls, and cross-functional execution as an Engineering Manager. Master's degree in Electrical Engineering (Embedded Systems).
Education
Master of Science in Electrical Engineering (Embedded Systems Engineering)
May 2024
University of Colorado, Boulder, CO
Bachelor of Science in Engineering Technology, Computers (ABET Certified)
August 2019
DeVry University, Downers Grove, IL
Technical Skills
Firmware & Embedded Development: Embedded C/C++, Python, RTOS-based & bare-metal systems, microcontrollers/SoCs/FPGAs (ESP32, STM32, Arm Cortex-M, RISC-V, Arduino, Altera, Xilinx, NIOS), low-level peripheral interfaces (SPI, I2C, UART, ADC), device drivers
Electronics & Hardware: Schematic review, component selection, analog/digital circuit design, power management, sensor integration & signal conditioning, PCB design tools (Altium/KiCad), oscilloscopes, logic analyzers, bench debugging
Connectivity & Systems Integration: BLE / BLE Mesh, WiFi, MQTT, IoT architecture, CAN bus, hardware-software co-design, sensor-to-cloud data pipelines, cloud platforms (AWS IoT, GitLab)
Verification, Quality & Compliance: Design verification & validation (V&V), test fixture design, root cause analysis (5-Why, Fishbone, 8D), risk assessment / DFMEA, design controls, IEC 62304, ISO 13485, and IEC 60601 as applicable to Class II, 510(k)-exempt medical devices, QMS documentation (SRS, architecture specs, cybersecurity risk assessments)
Engineering Management & Process: Cross-functional team leadership, technical strategy & build-vs-buy evaluation, release/version management, engineering roadmap prioritization & effort estimation, project planning, Agile/Scrum, requirements & issue tracking (Jira, Confluence), vendor/supplier coordination, technical documentation & mentoring
Tools & Practices: Git, CI/CD, MATLAB/Simulink, Lean Six Sigma, Windows/Linux/Mac OS environments
Professional Experience
Lead systems engineering, R&D, and engineering management for a connected smart-textile sensing platform (wearable/bedding sensor pads and hub connectivity system) used in care-facility environments.
- Directed the response to a critical in-field firmware regression, coordinating an emergency release rollback and remediation plan that protected deployed units across 4 care facilities from a data-loss failure mode
- Led a build-vs-buy evaluation and cost/effort estimation for the connected Hub's connectivity architecture, informing a roadmap decision to build hardware variants for existing deployments and new products to close capability gaps in the current platform
- Write and debug embedded firmware (ESP32, BLE Mesh, WiFi) for smart-textile sensing systems, including firmware updates and fixes across deployed devices, and contribute to electronics design such as schematic review, component selection, and sensing circuits
- Led cross-functional deployment reviews with several major care-facility customers, using field analytics to shape subsequent deployments and product development
- Support design controls, verification & validation planning, and QMS documentation (Software Requirements Specification, System & Software Architecture Specification, Cybersecurity Risk Assessment) for a Class II, 510(k)-exempt regulated medical device
Designed, built, and tested embedded firmware and electronics for automotive sensing and infotainment systems, working end-to-end from early prototypes through production deployment.
- Wrote and debugged embedded firmware in C/C++, Node.js, and Python for real-time sensor integration, CAN bus communication, and BLE/IoT features on ARM and Tensilica-based microcontrollers, optimizing for memory, CPU, and power efficiency in resource-constrained environments
- Contributed to electronics design (schematic review, component selection, power circuits, and analog signal conditioning) and built and validated physical prototypes from early concept through production
- Developed system-level integration of sensors, firmware, and data outputs enabling real-time vehicle monitoring and media features across 3 production platforms
- Designed and executed verification test frameworks (unit, integration, system-level) validating performance, reliability, and durability under real-world operating conditions, reducing manufacturing failure rate by 98%
Supported product development in a regulated manufacturing environment through hands-on prototyping, test fixture design, and compliance verification. Continued in a part-time consulting capacity after transitioning to a full-time role at Radio Sound, Inc.
- Designed and built 5+ custom test fixtures and control systems for product validation and long-term reliability testing, reducing test setup time by 4 hours a day
- Developed and programmed data acquisition systems to capture and analyze sensor data for performance characterization across hot beverage and chilled beverage product lines
- Built risk assessment processes and supported compliance activities aligned with applicable regulatory requirements, contributing to sign-off on 5 product releases
- Performed root cause analysis on 2 recurring failure modes, delivering a redesign recommendation (material and vendor change) that reduced the coffee product line's failure rate by 48%
Additional Experience
- Evaluated electronic schematics and assembled circuits for HVAC control systems
- Installed and maintained electrical wiring, controls, and sensors across 3 different tonnages of commercial climate-control systems
- Applied Six Sigma and 5S practices
- Performed hands-on hardware/software troubleshooting and diagnosis, resolving approximately 80 work-order tickets a week
- Performed data analysis to identify QA trends informing repair and production process improvements