Elijah Peake
Senior Software Engineer at Google DeepMind
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolElijah Peake is a Senior Software Engineer in the San Francisco Bay Area with 8 years of experience building backend systems, NLP/ML pipelines, and data engineering platforms. He has driven post-training infrastructure and RL/distillation work for Gemini across Google and DeepMind, and earlier focused on generative model tuning and evaluation in Vertex AI. Comfortable bridging research and production, he repeatedly ships scalable ML infrastructure for high-stakes models and structured-data forecasting systems. His background in mathematics and computer science from Middlebury underpins a methodical approach to model evaluation and pipeline reliability. Notably, he has progressed through consecutive roles at Google that reflect deepening ownership of LLM post-training workflows. He pairs hands-on engineering with an emphasis on reproducible, production-ready ML systems.
7 years of coding experience
2 years of employment as a software developer
Bachelor of Arts - BA, Mathematics and Computer Science, Bachelor of Arts - BA, Mathematics and Computer Science at Middlebury College
Stackoverflow
1reputation
0reached
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Github Skills (13)
discount9
smoothing9
vocabulary9
training-data7
nlp7
machine-learning6
dump6
fingerprint5
touchid4
fingerprinting4
ios3
draw3
doodle2
Programming languages (4)
Github contributions (5)
epeake/ModifiedKneserNey
Jun 2018 - Apr 2020
Interpolated Kneser-Ney smoothing with an out-of-vocabulary correction and discount estimated from training data
Contributions:32 commits, 3 PRs, 28 pushes in 1 year 10 months
nlpsmoothingdiscountmachine-learningtraining
anthoturc/anthoturc.github.io
Nov 2019 - Dec 2019
ES project for communication via rf signals
Contributions:27 PRs, 56 pushes, 37 branches in 1 month
ltertlsdrinfinibandjavascriptwireshark
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