Hi, I’m Sarah
Fourth-year Biomedical Engineering student at Toronto Metropolitan University and a member of the Dean’s List. I love work where hardware meets health, where engineering can bring a smile to someone’s face by helping and advancing their care. That’s been an ambition of mine for a long time, one I’ve pursued through volunteering and involvement with several charities in the field.
I have background in manufacturing instrumentation and process optimization from P&G. I worked on production data analysis, system characterization, and detection optimization. Combined with my research in signal processing and biomedical systems, I have hands-on experience spanning both manufacturing systems and medical device development.
Education
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Toronto Metropolitan University
Biomedical Engineering (BEng), Dean’s List · Expected May 2027 · Toronto, ON
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Biomedical Instrumentation, Control Systems & Bio Robotics, Signals & Systems I & II, Microprocessor Systems, Circuits Devices & Sensors, Electrical Machines & Actuators, Statistics, Biomechanics, Fluid Mechanics, Bioinformatics
Work
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Procter & Gamble · Process & Manufacturing Engineering Intern
Deployed 25+ cameras and imaging systems across 7 lines, improving troubleshooting by 85%. Ran loss elimination cutting machine interventions up to 62% and downtime up to 52%. Deployed an AI chatbot and trained 250+ technicians.
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LBN Consulting · Business Analyst Intern
Streamlined documentation and inventory workflows in Excel, improving efficiency by 10%, and trained 5 new team members.
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Red Crescent · Volunteer
Coordinated 15+ community health outreach events, connecting 200+ people to medical resources, and mentored 15+ volunteers.
Projects
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Temperature Controlled Motor System Read paper
Embedded system in C on a microcontroller using a TMP36 sensor, ADC, and UART for real time sensing and threshold based motor control, simulated in Proteus.
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ECG Signal Processing & Heart Rate Detection Read paper
MATLAB pipeline for R peak detection and heart rate using cross correlation, with IIR filtering and Einthoven’s Law to reconstruct missing leads.
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EEG Denoising & Brainwave Analysis Read paper
Fourth order Butterworth bandpass filters in MATLAB to isolate frequency bands, comparing eyes open and eyes closed brain activity.
Skills
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MATLAB, Python, C, C++, MPLAB X
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Proteus, SolidWorks, Excel, Tableau, Veeva
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Signal processing (ECG / EEG), embedded control (ADC, GPIO, UART), sensor interfacing, imaging and optical detection, system testing and validation