Jon Wiggins
Founding Machine Learning Engineer at Respondology
United States
Summary
🤩
Rockstar🎓
Top SchoolJon Wiggins is a founding AI engineer with a decade of experience building production machine learning systems across startups and media tech. He has led ML efforts from early-stage productization at Respondology to senior engineering work at Chartbeat and now architects AI for Phaselaw, demonstrating a consistent track record of turning research prototypes into deployed services. Comfortable across the stack, Jon brings practical MLOps, model engineering, and scalable feature pipelines to bear while navigating ambiguous product requirements. His career path—from internships at Northrop Grumman to hackNY fellowship and dual university backgrounds—signals both disciplined engineering rigor and a knack for rapid, founder‑level problem solving.
10 years of coding experience
3 years of employment as a software developer
The University of UtahUniversity of Illinois Urbana-Champaign
Github Skills (137)
docker-run10
python10
data-manipulation10
bank10
self-hosted-api10
podman10
dataframes10
pandas10
docker-compose10
compose10
api10
phrase10
deepl10
translator10
translation10
Programming languages (7)
Github contributions (5)
chartbeat-labs/lein-assembly
Oct 2015 - Dec 2016
Contributions:18 commits in 1 year 2 months
leiningenassemblymissing
jonwiggins/pepperon.ai
Sep 2019 - Mar 2022
Like scikit-learn - but *a lot* worse
Contributions:1 release, 54 commits, 1 PR in 2 years 6 months
pythondata-sciencelotmachine-learningscikit-learn
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