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Phlebotomist I P/T At Quest Diagnostics

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Hi I am Kellys a driven biomedical Engineer with demonstrated strengths in research, optical systems, data analysis, CAD, and a desire to improve and grow in the biomedical Industry. Good at troubleshooting problems and building successful solutions. Excellent verbal and written communicator with strong background cultivating positive relationships and exceeding goals.

Motivated undergraduate researcher in Electrical and Electronic Engineering with hands-on experience in wireless communication and embedded systems. Contributions to academic research on probabilistic constellation shaping included advanced techniques such as Monte Carlo mutual information estimation and distribution-based optimization. Engaged in embedded systems development at BitCrab, successfully integrating hardware platforms and IoT sensors into functional self driving car prototypes. Selected for the prestigious KIAT Korea-U.S. Advanced Technology Exchange Scholarship, demonstrating strong academic initiative, with a keen interest in next-generation communications and autonomous systems.

Pulse Oximeter & Heart Rate Monitor (Team Leader)
EEE Society Project | University of Nottingham | Oct 2023 – Jan 2024
Led a 5-member team to develop a working biomedical device using PPG signals and STM32 firmware.

 Built analog front-end and signal conditioning for clean heart rate/SpO₂ capture.
 Coded STM32 firmware for PWM modulation, ADC sampling, and FFT-based heart rate analysis.
 Managed system integration with CPLD/RS485 interface and OLED/7-segment displays.
 Oversaw 3D probe design and produced full project documentation and testing logs.


Optical Waveguide Simulation (Independent Project)
University of Nottingham | Sept 2024 – Feb 2025

Created custom MATLAB software for modelling waveguide modes and discontinuities using EME.

 Implemented analytical (TMM) and numerical (FDM) solvers with
 Developed eigenmode expansion solver simulating modal reflection with >98.5% power accuracy.
 Validated field plots and Poynting vectors against analytical benchmarks and published results.


Wearable Motion Sensor System
Personal Project | Summer 2024

Prototyped a compact IMU-based motion tracker using an STM32 board and MPU6050 sensor.

 Achieved RMS error of < 2 degrees in tilt angle estimation using complementary filter at 100 Hz sampling
 Designed low-power firmware with less than 20 mA active draw to allow 18 hours of operation on a 500 mAh LiPo battery
 Built serial dashboard for real-time pitch/roll display and logged motion events with 98% gesture recognition accuracy across 5 defined movements.

I am a motivated student currently working towards degree in physics. Adept at prepping resources, equipment, and materials for research. Extensive background in investigating physics research.

CRAIG REIMER

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Undergraduate Research Assistant

Undergraduate Research Assistant

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Bachelor Of Electrical Engineering -

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Undergraduate Research Assistant

Undergraduate Research Assistant

Bachelor Of Electrical Engineering -

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