Performed hyperparameter tuning to optimize precision and recall on an imbalanced dataset obtained from the Aneurysm API Map.
Explored quantum machine learning techniques to evaluate the trade-offs between classical and quantum machine learning approaches.
Attempted to find a balance between bias and variance to improve model generalization.
Implemented models using the TensorFlow library.
Research Assistant
QAS.AI
Buffalo
05.2024 - 09.2024
Focused on machine learning skills including image processing, CNN training, data augmentation, and image classification.
Worked on optimizing image prediction by modifying model preprocessing and training methods.
Engaged in data curation to generate training datasets for pipeline aneurysms.
Sales Associate
TJX Companies
Fayetteville
10.2021 - 01.2024
Education
Bachelor's degree - Biomedical Engineering
University At Buffalo, The State University of New York
05.2026
Skills
Python
TensorFlow
Deep Learning
Convolutional Neural Networks (CNNs)
Quantum Theory
Java
Data Augmentation
Decision Trees
Certification
Supervised Machine Learning (Regression and Classification), Certification Link
Advanced Learning Algorithms, Certification Link
Projects
Developed an AdaBoost algorithm from scratch using decision trees as base learners, implementing metrics such as information gain, entropy, and Gini score to optimize splits.
Current ongoing Senior Design Project on Occlusion Prediction in Coiled Aneurysms.
Developed a neural network from scratch implementing forward and backward propagation.