Amogh is a Staff Software Engineer at Meta, specializing in machine learning with a focus on large-scale training and deployment of multi-modal models for smart glasses. His expertise, backed by a Masters from UCLA, spans distributed training, data pipelines, and privacy-preserving ads experimentation. He previously led ML platform teams at Zillow.
Outside of his core work, Amogh has a keen interest in bridging the gap between cutting-edge AI research and real-world production applications. He has a passion for building robust, scalable ML platforms that accelerate experimentation and deployment, a skill he honed while managing engineering teams at Zillow.
He has a notable background in high-performance computing, having worked on the parallelization of optical flow estimation on NVIDIA GPUs during his time at UCLAs Vision Lab.
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