Researcher at Metropolitan University
My research interests lie at the intersection of artificial intelligence and distributed systems, with a specific focus on optimizing large-scale machine learning models for resource-constrained environments. I am passionate about developing efficient edge computing frameworks that enhance data privacy while maintaining high inferential accuracy. Ultimately, I aim to bridge the gap between theoretical algorithmic breakthroughs and their practical deployment in real-world, high-stakes infrastructure.