Keenon Werling
AI Robotics PhD Student at Stanford University
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolKeenon Werling is an AI and robotics PhD student at Stanford with 13 years of engineering experience spanning research, product, and startup leadership. He co-founded and led Eloquent Labs—built conversational AI, grew the team to 10, secured enterprise customers, and exited to Square—then spent a year as a senior AI engineer integrating the tech. His background blends published academic NLP research (ACL and NIPS first-author papers) with production systems work, from optimizing CoreNLP components and SGD parallelization to low-level mobile crash reporting and AWS services. Motivated by personal experience with Charcot-Marie-Tooth, he channels his research toward better treatments for degenerative neuropathies while enjoying game development and history in his spare time.
13 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.S.), Artificial Intelligence, Bachelor of Science (B.S.), Artificial Intelligence at Stanford University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (6)
javas10
numerical-analysis10
java10
performance-optimization9
nlp8
natural-language-processing8
Programming languages (7)
Github contributions (5)
stanfordnlp/CoreNLP
Jan 2014 - Nov 2015
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:50 commits in 1 year 9 months
Contributions summary:Keenon's commits primarily involve modifications to the `ConfusionMatrix` class, indicating a focus on improving and refactoring its functionality. Their contributions include changes to conform to code standards, the addition of locale support, and other code-style related cleanups. The user also modified the `SGDMinimizer` class to provide better parallelization and optimized the code to improve performance. These contributions suggest a focus on numerical analysis and model optimization within the broader natural language processing project.
word-embeddingssentiment-analysisnatural-language-processingstanford-nlpsuite
lense-project/lense-base
Apr 2015 - Oct 2015
Contributions:319 commits, 265 pushes, 2 branches in 6 months
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