Interview

on YouTube ↗06m

" summary

Built a system called Rainier, a Bayesian inference engine for Scala that generates JVM bytecode, requiring work across statistics, compilers and runtime codegen. Describes a steep learning curve but an integrated full‑stack tool that supports probabilistic programming and deep learning work at Stripe. Chronicles a shift from dynamic languages to eight years of Scala experience and argues a strong static type system pays off as projects and working memory grow.

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