Perez Ogayo

Software Engineer at Google

San Francisco Bay Area United States
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Summary

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Senior
🎓
Top School
Perez Ogayo is a Machine Learning Engineer with 8 years of software experience and 3+ years focused on building and deploying NLP systems, currently at Intuit after roles at Oracle and CMU's Language Technologies Institute. He specializes in low-resource and multilingual NLP, with hands-on research in machine translation and speech, and contributes to community-driven projects like Masakhane. Perez pairs academic rigor from a Carnegie Mellon master's with practical engineering—shipping production services and refining technical documentation for open-source projects such as Augur. Early initiatives in education and product clubs reveal a talent for organizing technical communities and turning research into usable tools.
code8 years of coding experience
job7 years of employment as a software developer
bookMachine Learning Engineer with Microsoft Azure Nanodegree Artificial Intelligence, Machine Learning Engineer with Microsoft Azure Nanodegree Artificial Intelligence at Udacity
bookCertificate Full stack development, Certificate Full stack development at OpenClassrooms
bookStarehe Girl's Centre
bookBachelor's degree Computer Science, Bachelor's degree Computer Science at The African Leadership University
bookMaster's degree Language Technologies, Master's degree Language Technologies at Carnegie Mellon University
languagesEnglish, Kiswahili, dholuo
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Stackoverflow

Stats
1reputation
0reached
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0questions
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Github Skills (5)

schema10
documentation10
python-lib5
open-source4
data-collection4

Programming languages (9)

TypeScriptShellC++JavaScriptGoLuaHTMLJupyter Notebook

Github contributions (5)

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augurlabs/augur

Mar 2020 - Mar 2020

When Augur reached a wall we made Aveloxis: Reliably collecting OSS Metrics Data. 40,000 repositories fully collected in 3 days is good, right?
Role in this project:
userTechnical Writer
Contributions:9 commits, 2 PRs, 10 comments in 2 days
Contributions summary:Perez primarily focused on updating and refining the project's documentation. Their commits involved correcting broken links within the documentation, including fixing a broken link to the unified data model. The user also added and updated the documentation of the data model, including the schema overview and the data sources. Additionally, they shortened the wording on the development guide.
unixpythonweb-servicedata-collectionmonitoring
neulab/newlang-tech

Oct 2021 - Jan 2022

A guide to building language technology in new languages.
Contributions:2 reviews, 20 commits, 2 PRs in 3 months
programming-languagelanguageslanguage-technology
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