After arriving in Silicon Valley with a background in mathematics, Neeraj Kashyap has managed several technology teams and developed a knack for a certain type of candidate. This talk will go into detail about what Neeraj looks for in a "Moneyball" algorithmic way, and that often times it's good to focus on the "unpredictable."

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ABOUT OUR GUEST

 

Neeraj Kashyap is a mathematician by training. During his career he built blockchain technology for healthcare applications. He worked at Google (the Tensorflow and Cloud AI teams). He has been a blockhead since 2015, with a focus on building software to connect blockchains to centralized services as well as to other blockchains. He's now a maintainer of Moonstream.to, which is a free and open-source tool for blockchain analytics.

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ABOUT EDUCATIVE

 

Educative (educative.io) provides interactive and adaptive courses for software developers. Whether it’s beginning to learn to code, grokking the next interview, or brushing up on frontend coding, data science, or cybersecurity, Educative is changing how developers continue their education. Stay relevant through our pre-configured learning environments that adapt to match a developer’s skill level. Educative provides the best author platform for instructors to create interactive and adaptive content in only a few clicks.

 

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Episode 83: ”A 'Moneyball' Approach to Hiring Tech Talent” with Neeraj Kashyap of Moonstream.io | Educative Sessions