Perez Ogayo
Machine Learning Engineer at Intuit
Pittsburgh, Pennsylvania, United States
Summary
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Top SchoolPerez 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.
7 years of coding experience
4 years of employment as a software developer
Machine Learning Engineer with Microsoft Azure Nanodegree, Artificial Intelligence, Graduated, Machine Learning Engineer with Microsoft Azure Nanodegree, Artificial Intelligence, Graduated at UdacityCertificate, Full stack development, Certificate, Full stack development at OpenClassroomsA, A at Starehe Girl's CentreBachelor's degree, Computer Science, Bachelor's degree, Computer Science at The African Leadership UniversityMaster's degree, Language Technologies, Master's degree, Language Technologies at Carnegie Mellon University
English, Kiswahili, dholuo
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (5)
schema10
documentation10
python-lib5
open-source4
data-collection4
Programming languages (8)
Github contributions (5)
chaoss/augur
Mar 2020 - Mar 2020
Python library and web service for Open Source Software Health and Sustainability metrics & data collection. You can find our documentation and new contributor information easily here: https://oss-augur.readthedocs.io/en/main/ and learn more about Augur at our website https://augurlabs.io
Role in this project:
Technical Writer
Technical WriterContributions: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
Pogayo/Ravenous
Nov 2019 - Sep 2021
A website that lists restaurants fetched from the Yelp API
Contributions:18 PRs, 18 pushes, 1 branch in 1 year 10 months
apijavascriptlistsnodejsyelp
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