Gabor Angeli
Research Engineer at Resolve AI
Redwood City, California, United States
Summary
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Rockstar🎓
Top SchoolGabor Angeli is a research engineer with 15 years of experience building production conversational AI and large language model products, currently focused on applied AI at Resolve.ai after recent work on Google Bard. A Stanford NLP Ph.D. and former CTO of Eloquent Labs, he has led engineering teams at Square that scaled Assistant and Square Messages to serve millions of merchants and grew his org from a handful to twenty-plus reports. He blends deep research chops—authoring CoreNLP components like OpenIE and relation extraction and contributing graph-consistency tests and entity-linking interfaces—with hands-on product engineering to ship robust systems. His career spans startups and Big Tech, with a track record of taking research into production and steering acquisitions and integrations. Based in Redwood City, he pairs academic rigor with a practical focus on quality assurance and deployable NLP features that measurably improve customer communication.
15 years of coding experience
9 years of employment as a software developer
Bachelor of Science (BS) EECS, Bachelor of Science (BS) EECS at University of California, BerkeleyPhD Computer Science, PhD Computer Science at Stanford University
English, Hungarian, Spanish
Stackoverflow
5,749reputation
249kreached
227answers
5questions
nltk
top-5%
java
top-5%
nlp
top-1%
Github Skills (15)
javas10
nlp10
java10
testing9
nltk9
stanford-nlp6
opennlp6
sentiment-analysis6
named-entity-recognition6
unsupervised-learning6
python6
parsing6
multithreading6
thread-safety6
supervised-learning6
Programming languages (7)
Github contributions (5)
stanfordnlp/CoreNLP
Aug 2013 - Jun 2018
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 & QA Engineer
Back-end Developer & QA EngineerContributions:1588 commits, 56 PRs, 2502 pushes in 4 years 10 months
Contributions summary:Gabor contributed to graph consistency tests and implemented an interface for entity linking. They also worked on unit testing for graph consistency, indicating a focus on quality assurance and testing. The changes reveal that the user was likely focused on the low-level implementation details of the core functionality of the project, suggesting a role in back-end development and quality assurance.
word-embeddingssentiment-analysisnatural-language-processingstanford-nlpsuite
gangeli/thesis
Apr 2015 - Oct 2018
Contributions:15 commits, 33 pushes in 3 years 7 months
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