Amogh Param
Critic · DISC type CAmogh 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.
Read the full overview →How Amogh shows up
They like to do things independently and don’t look for support from others. They are quite likely to negotiate on pricing or other key terms. They choose to analyze logically and value facts to emotions.
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Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.
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