I am an undergraduate student in Computer Science with a minor in
Business, where I have developed a strong foundation in machine
learning, computer vision, and their applications to real-world
problems. My early research explored applying ML techniques to
healthcare, including EMG-based gesture recognition and signal
classification.
I am currently working at the MPS Lab on optimizing auto tuners for
large language model inferencing through the MLIR (Multi-Level
Intermediate Representation) framework, focusing on compiler-level
performance improvements and scalable system design.
I aim to pursue research at the intersection of efficient deep
learning systems and applied AI, contributing to advancements in model
optimization and deployment for large-scale intelligent systems.