Abhi is a 2X tech entrepreneur and machine learning expert. He spent most of his career building tech and go-to-market for products involving compilers, real-time/large-scale data processing, machine learning, and observability tools for continuous visibility into data flows. Given his work in compilers, Abhi became obsessed with simplifying the expressibility of data-processing intent while automatically synthesizing data types, computation intent, call-graphs, and data flows in applications and machine learning models. In 2019, he started advising first-time founders on product/go-to-market, and was a technologist-in-residence in venture capital. During this time, he was actively exploring how extreme domain specializations in various industries could slow down the speed of innovation, cross-pollination of ideas, and thus human progress overall. He even saw this manifest as silos between different departments within organizations. Ever since, he has been passionate about applying meta-modeling, and machine learning to challenging problems at the intersection of widely different domains.
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