Jon Wiggins
Founding AI Engineer at Phaselaw
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.
11 years of coding experience
6 years of employment as a software developer
The University of UtahUniversity of Illinois Urbana-Champaign
Github Skills (114)
python10
bank10
copilot10
podman10
pandas10
docker-compose10
api10
translator10
translation10
data-science10
data-structure10
translate10
linux-containers10
data-analysis10
data-structures10
Programming languages (10)
Github contributions (5)
jonwiggins/optio
Mar 2026 - Jul 2026
Workflow orchestration for AI coding agent swarms, from task to merged PR.
Contributions:4 reviews, 94 PRs, 257 pushes in 3 months
aiagentagentsclaude-codecopilot
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
scikit-learn
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