About me

I am a Research Scientist at Meta Reality Labs focused on accelerating machine learning inference on embedded devices. I received my Ph.D. in Computer Science from the Georgia Institute of Technology, where I specialized in Systems under the advisement of Dr. Taesoo Kim. My thesis, Taming Latency In Data Center Applications, is available here.

Experience

  • Research Scientist 2019 — Present
    Meta Reality Labs

    Focused on accelerating machine learning inference on embedded devices. My work encompasses optimizing and deploying diverse ML architectures—including CNNs, RCNNs, RNNs, and transformers—onto resource-constrained hardware platforms. I leverage PyTorch and related frameworks to develop efficient model implementations and quantization techniques for edge deployment. Additionally, I partner with SoC vendors to architect NPU/eNPU specifications that enable more efficient and effective hardware solutions for on-device ML inference.

Publications

Posters