Robbie Haertel
Principle Engineer at Google
San Jose, California, United States
Summary
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Rockstar🎓
Top SchoolRobbie Haertel is a Principal Engineer at Google with 14 years of software engineering experience and a deep research background in applied machine learning and natural language processing. He blends industry-scale systems design with academic rigor as a Ph.D. candidate researching Bayesian topic models, cost-conscious active learning, and statistical morphology for Semitic languages. At BYU he founded and led the Active Learning for Annotation group, and his work spans both production ML systems and principled decision-theoretic approaches to annotation efficiency. Based in San Jose, he has progressed through senior technical roles at Google, shipping large-scale features while mentoring engineers. Unusually for an engineer at his level, he also holds an M.A. in linguistics, spent two years living in the Yucatán studying Mayan languages, and was trained in Mayan hieroglyphic reading—bringing rare linguistic and fieldwork perspective to language technologies.
14 years of coding experience
22 years of employment as a software developer
Ph.D. Computer Science, Ph.D. Computer Science at Brigham Young University
English, Spanish
Stackoverflow
41reputation
126reached
0answers
1question
Github Skills (44)
keras-tensorflow10
google-cloud-platform10
python10
data-science10
machine-learning10
vertex10
ml10
gcp10
keras10
google-cloud-run10
deep-learning10
tensorflow10
google-cloud10
neural-network10
notebook9
Programming languages (5)
Github contributions (5)
rhaertel80/python-docs-samples
Apr 2017 - Oct 2020
Code samples used on cloud.google.com
Contributions:3 pushes in 3 years 6 months
gcppythongoogle-cloudgoogle-cloud-rungoogle-appengine
rhaertel80/nodejs-docs-samples
Jul 2017 - Jul 2017
Node.js samples for Google Cloud Platform products.
Contributions:4 pushes in 1 day
googlenode-jsgoogle-cloud-platformcloud-platformnodejs
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