Isaiah Rivera Email and Phone Number

● Developed an interactive application using Dash and Flask to visualize data and allow users to review and correct errors duringclinical trial data collection.● Improved signal quality by implementing Discrete Wavelet Transform denoising. Incorporating the Python-based solution with a machine learning data input pipeline.● Designed and implemented a 1D Convolutional Neural Network with a masking layer using Tensorflow to predictpostoperative eye pressure in patients. Ensured reliability and robust performance by using a Test-DrivenDevelopment cycle.● Trained a Random Forest model to predict patient IOP after washing out medication, achieving a 33.35% reduction

● Redesigned a PCB with an ADC and DAC, achieving a linear voltage-pressure relationship, which improvedcalibration precision for soft robotic actuators.● Enhanced operational efficiency by automating calibration and pressure monitoring with Raspberry Pi Picofirmware using SPI protocol, reducing manual intervention to achieve quicker setup, increased pressure controlprecision, and enhanced safety.● Created automated processes for data retrieval and tabulation to cut manual processing time by 75% and increasedata accuracy by 50%.