Karl Cronburg
Principal Software Engineer at MathWorks
Medford, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolKarl Cronburg is a Principal Software Engineer and CS PhD candidate at Tufts University with 11 years of experience building performant runtime systems, DSL tool-chains, and developer-facing infrastructure. He focuses on programming languages and runtime design—particularly garbage collection and memory management—with a research-driven goal of making memory managers easier to reason about, faster, and verifiably correct. At MathWorks he advances core engineering practices, and his prior work includes automating debugger generation for DSLs and improving analysis pipelines as a graduate research assistant. An active open-source contributor, he enhanced fio’s latency logging and histogram features while interning at Red Hat, demonstrating a knack for turning research insights into practical tooling for performance analysis. He blends deep systems research with production-grade engineering and a track record of making complex runtime properties more observable and analyzable.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at Bucknell UniversityDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Tufts University
English
Stackoverflow
892reputation
31kreached
28answers
13questions
Github Skills (21)
c1110
data-structure10
c1710
data-structures10
python9
linux9
performance-optimization9
file-handling8
file-processing8
server-side8
file-access8
fileio8
debug8
debugging8
server8
Programming languages (9)
Github contributions (5)
axboe/fio
Jul 2016 - Sep 2016
Flexible I/O Tester
Role in this project:
Back-end Developer
Back-end DeveloperContributions:9 commits, 9 PRs, 12 comments in 2 months
Contributions summary:Karl contributed significant enhancements to the fio tool's data logging and histogram features. This included fixing bugs related to the handling of latency samples, implementing new functionality for generating completion latency histogram output, and adding an option for using Unix epoch timestamps in log files. Further contributions involved client/server code modifications for handling histograms, and improving the fiologparser_hist.py tool, including auto-detection of log settings and handling of Unix timestamps.
testingflexible
RedlineResearch/floorplan
Sep 2019 - Sep 2020
Contributions:1 release, 32 commits, 23 pushes in 11 months
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