Ryan Georgi
Data Scientist
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolRyan Georgi is a data scientist and computational linguist with 12 years of experience applying NLP and machine learning to under-resourced domains, from bootstrapping tools for minority-language communities to production analytics at scale. He bridges research and product: a PhD-trained researcher who has taught graduate courses on tuning LLMs and built backend systems for automatic analysis of resource-poor language data. His industry roles include leading decision-science teams at KPMG and currently bringing language-aware ML to educational products at McGraw Hill, while earlier work informed speech and translation systems at Microsoft Research. Ryan is skilled at turning linguistics insights into usable interfaces and pipelines that help researchers and non-experts enrich and interrogate their data. He often works on retrieval-augmented workflows and practical fine-tuning approaches, and uniquely combines deep academic training with hands-on delivery engineering.
12 years of coding experience
18 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Linguistics, Doctor of Philosophy - PhD, Computational Linguistics at University of WashingtonBA, Linguistics, Computer Science, BA, Linguistics, Computer Science at University of California, Berkeley
English, German
Github Skills (23)
watson-assistant8
machine-learning7
deep-learning6
deepface5
extensible5
tensorflow5
draw4
k-fold4
sensor4
watson4
botium4
deep-neural-networks4
ibm-watson3
selenium-webdriver3
testing3
Programming languages (4)
Github contributions (5)
xigt/igtdetect
May 2016 - Feb 2021
IGT detection for pdf-to-text extracted documents, including language ID.
Contributions:1 release, 90 commits, 59 pushes in 4 years 10 months
xigt/igt-edit
Sep 2015 - Feb 2019
Contributions:217 commits, 80 pushes, 6 branches in 3 years 5 months
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