Justine Gehring

Head Of AI Business Line at Gologic Inc.

Canada
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Summary

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Rockstar
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Justine Gehring is a Head of AI Business Line and machine learning engineer who builds AI-driven developer tools that automate large-scale code refactoring, migrations, and infrastructure monitoring. With a McGill/Mila background in ML4Code and graph neural networks, she translates research on sparse-data and library-specific code generation into practical, enterprise-grade automation at Gologic and previously Moderne. She co-authored an O’Reilly book on mass-scale code refactoring and a paper exposing version-switching limits of code models, and regularly presents industry-facing demos and talks on productionizing AI for code. Known for marrying deterministic engineering with generative approaches, she focuses on reducing manual effort while preserving human oversight in automated code changes. Based in Montreal, she combines research rigor with product delivery across multi-repo, high-impact refactoring projects.
code4 years of coding experience
job6 years of employment as a software developer
bookComputer Science, Computer Science at McGill University
bookCegep, Business, Cegep, Business at Dawson College
bookMaster's degree, Machine learning, Master's degree, Machine learning at McGill University / Mila
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Github Skills (26)

mass10
code-search10
abstract-syntax-tree10
java10
refactoring10
python9
migrate9
nlp9
openrewrite9
speech-recognition8
deep-learning8
natural-language-processing8
machine-learning8
pytorch8
testing7

Programming languages (5)

TypeScriptJavaCSSJupyter NotebookPython

Github contributions (5)

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moderneinc/rewrite-ai-search

Aug 2023 - Sep 2024

Interactions with language models to perform search and impact analysis.
Contributions:3 reviews, 149 PRs, 214 pushes in 1 year 1 month
Build a Jekyll blog in minutes, without touching the command line.
Contributions:57 pushes in 8 months
jekyll-blogjekylljekyll-thememinutes
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