Karl Schultz
Senior Engineer II at Accertify, Inc.
Greater Chicago Area United States
Summary
👤
Senior🎓
Top SchoolKarl Schultz is a Senior Engineer II with 16 years of hands-on experience building backend systems in Java and Scala, currently focused on payments and fraud at Accertify after roles at Floor & Decor, Nike, and Walmart. He combines a Master's in Computer Science with a research background in machine learning and probabilistic graphical models, contributing fixes and LDA features to the Factorie Scala toolkit. Comfortable across cloud and streaming stacks (AWS, Kafka, Kubernetes, Terraform), he has repeatedly delivered resilient REST and microservice architectures for high-throughput POS and financial systems. Known for untangling legacy systems into modern Scala services, he brings both academic rigor and practical production experience to complex data and integration challenges.
16 years of coding experience
24 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at University of Massachusetts AmherstBachelor's degree Computer Science, Bachelor's degree Computer Science at University of Illinois Urbana-Champaign
Github Skills (5)
machine-learning10
scala10
computer-engineering9
git-repository8
github-repos8
Programming languages (1)
Github contributions (1)
factorie/factorie
Feb 2010 - Nov 2011
FACTORIE is a toolkit for deployable probabilistic modeling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 commits in 1 year 8 months
Contributions summary:Karl primarily focused on fixing bugs and implementing features related to the LDA (Latent Dirichlet Allocation) model within the Factorie toolkit. Contributions include correcting errors in mathematical functions, merging code branches, and implementing save/load functionality for the LDA model. The user demonstrated proficiency in Scala by modifying existing code and adding new features.
inferencescala
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