Contributed to publications on fall detection, explainable health diagnostics, and federated learning.
Research Experience
Developed ML microservices, predictive models, and anomaly detection systems using Python, TensorFlow, and PyTorch.
Education
M.Sc. in Computer Science at the University of New Brunswick (UNB)
Background
AI Researcher, focusing on machine learning, IoT, and robotics. At UNB’s AELab, designs and optimizes intelligent systems, combining AI with real-world data to solve complex problems.
Miscellany
Has a strong foundation in data preprocessing, model deployment, and interdisciplinary collaboration, aiming to apply AI in meaningful, scalable ways.