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I am an undergraduate Electrical and Computer Engineering student at Carnegie Mellon University, pursuing a second major in Engineering Design, Innovation, and Entrepreneurship, with a focus on computer architecture, embedded systems, and energy efficient computing. My focus spans processing-in-memory, neuromorphic computing, and hardware–algorithm co-design, and I'm passionate about advancing work at the intersection of computer architecture and machine learning.

This past year, I interned with ETH Zürich's SAFARI Research Group under Prof. Onur Mutlu, where I helped design processing-in-memory architectures to accelerate in-DRAM homomorphic encryption, reducing latency and energy for large-scale cryptographic workloads. I am currently working at Carnegie Mellon's NeuroAI Computer Architecture Lab (NCAL), where we are extending the NeuTNN spiking-neural-network architecture toward multimodal recognition, training systems on energy-efficient edge hardware.

Beyond the lab, I love to build. My personal projects and coursework span sensing, computer vision, IoT, and custom PCBs, giving me hands-on experience across the full stack, from circuit design and firmware to simulation and software, and strengthening my fundamentals.