Robert Neuhaus
Co-Founder at Activated AI
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolRobert Neuhaus is a machine learning-focused software engineer and Co-Founder based in San Francisco with 16 years of experience building production ML systems and large-scale data pipelines. He delivered multiple quality improvements to Google Search and Maps by prototyping, productionizing, and deploying statistical models integrated into local search and language modeling stacks. His work spans distributed data processing (MapReduce), feature selection, and custom learning algorithms that processed hundreds of gigabytes of logs to power ranking and prediction features. Before founding Activated AI he built ML systems at Facebook and spent over a decade at Google solving hard ranking and speech problems, demonstrating both research instincts and production rigor. An active coder, he’s improved open-source projects such as a Markov-chain-based gibberish detector by tightening model loading, fixing probability calculations, and clarifying documentation. He combines deep hands-on engineering with a knack for translating noisy, large-scale datasets into measurable product wins.
17 years of coding experience
19 years of employment as a software developer
Masters, Computer Science, Masters, Computer Science at New York UniversityBS, Computer Science, BS, Computer Science at Rutgers, The State University of New Jersey-New Brunswick
Github Skills (5)
nlp10
python10
natural-language-processing10
documentation9
pickle8
Programming languages (5)
Github contributions (5)
rrenaud/Gibberish-Detector
Jun 2011 - Aug 2015
A small program to detect gibberish using a Markov Chain
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 commits, 1 PR, 1 push in 4 years 3 months
Contributions summary:Robert primarily focused on improving the gibberish detection program. They cleaned up the code, added comments and documentation. Additionally, they fixed bugs related to calculating the average transition probability and model loading, ensuring the program functioned correctly. They also updated the README file to improve clarity and provide examples of the program's usage.
markov-chain
rrenaud/dominionstats
Jun 2011 - Dec 2012
The code behind councilroom.com.
Contributions:114 commits in 1 year 7 months
code-behind
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