Kyle Prifogle
Staff AI Engineer at JMI Equity
Indianapolis, Indiana, United States
Summary
👤
Senior🎓
Top SchoolKyle Prifogle is a Staff AI Engineer with 11 years of experience architecting and operationalizing large-scale data and ML systems, currently focused on AI foundations and streaming materialized views that power personalization and generative recommendation features. He has a strong track record building resilient, event-driven microservices and fast data pipelines using Hadoop, Kafka, Spark/Dask, Kubernetes, and functional programming in Scala and Python, plus hands-on cloud and infra automation with Terraform and kops. Kyle has led platform and ML infra efforts at companies from startups to Spotify, creating tools like the open-source "mason" pipeline CLI and push-button Kubernetes deployments that reduce toil and accelerate delivery. Equally comfortable in deep technical design and solo problem-solving, he combines research-grade mathematical training with pragmatic engineering to turn complex data science into production-grade systems. An Eagle Scout and avid outdoorsman, he brings the same disciplined curiosity to technical challenges as he does to rock climbing, scuba, and whitewater adventures.
11 years of coding experience
16 years of employment as a software developer
M.A. Mathematics, M.A. Mathematics at Indiana University BloomingtonB.A. (Magna Cum Laude) Mathematics Music Physics, B.A. (Magna Cum Laude) Mathematics Music Physics at Wabash CollegeElevenFifty
English, French, Japanese
Github Skills (200)
apache-spark10
hadoop10
scheduling10
linter10
client-library10
big-data10
apache10
amazon10
terraform-provider10
notebook10
python10
terraform10
docker-desktop10
r10
scale10
Programming languages (17)
Github contributions (5)
kyprifog/.dotfiles
Dec 2016 - Jul 2020
Contributions:88 pushes, 1 branch in 3 years 7 months
samtecspg/data-ops
Oct 2020 - Dec 2020
Contributions:26 commits, 2 PRs, 21 pushes in 2 months
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