Geoff Bacon
Software Engineer at Google DeepMind
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolGeoff Bacon is a software engineer at Google DeepMind specializing in multilingual data and evaluations for Gemini, with 11 years of experience spanning research, engineering and teaching. He holds a PhD from UC Berkeley where his dissertation empirically measured what neural networks learn about phonology, morphosyntax and semantics across more than 80 languages. Geoff has led Python and NLP teams at UC Berkeley’s D-Lab, contributed QA and test automation to the flagship NLTK library, and helped deploy NLP methods for hate-speech measurement and lexical-semantic integration. His background blends field linguistics (including documentation of an endangered Nigerian language), industry project management and military service, giving him rare cross-disciplinary perspective on language technology. Based in San Francisco, he focuses on making large models truly multilingual and empirically grounded.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Linguistics, Doctor of Philosophy - PhD, Linguistics at University of California, BerkeleyThe University of Melbourne
English, French, Italian, Arabic, Latin, Greek, Sanskrit
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
unit-testing10
nltk10
unit-test10
python10
test-automation10
testing10
nlp9
machine-learning7
Programming languages (6)
Github contributions (5)
nltk/nltk
May 2016 - Oct 2016
NLTK Source
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:6 commits, 1 PR, 1 comment in 5 months
Contributions summary:Geoff contributed significantly to the testing framework of the NLTK library. Their commits focused on adding new test cases to `test_aline.py` to ensure the accuracy of the phonetic alignment algorithm. They specifically added tests for the `align` and `delta` methods, expanding the test suite to cover a wider range of input scenarios and edge cases, thereby improving the overall quality and reliability of the ALINE module.
nlppythonmachine-learningnltknatural-language-processing
TextXD/introduction-to-web-scraping
Dec 2018 - Dec 2019
Introduction to web scraping
Contributions:9 commits, 6 pushes, 1 branch in 1 year
pythonscrapingweb-scrapingwebscrapingscraper
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