Tony Fader
Co-Founder at Thunk.AI
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolTony Fader is an applied scientist and entrepreneur with 15 years of experience building NLP, information extraction, and ML systems, currently co-founding Thunk.AI in Seattle. He blends deep research credentials—a PhD from the University of Washington and research roles at AI2 and UW—with production engineering at Google and AppSheet to deliver pragmatic solutions for unstructured text. Tony focuses on trade-offs between accuracy, engineering complexity, and interpretability, favoring simple, deployable approaches that scale. He has contributed to notable open-source IE tooling (e.g., Reverb) by improving core extraction, CLI ergonomics, and normalization pipelines. Comfortable toggling between prototype research and production-grade code, he brings both academic rigor and hands-on product instincts to data-driven startups.
15 years of coding experience
18 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at University of WashingtonBS Mathematics, BS Mathematics at University of Michigan
English, Russian
Stackoverflow
11reputation
114reached
0answers
1question
Github Skills (8)
javas10
command-line-interface10
java10
command-line10
natural-language-processing9
nlp9
testing8
google-cloud-vision6
Programming languages (5)
Github contributions (5)
knowitall/reverb
Apr 2011 - Dec 2018
Web-Scale Open Information Extraction
Role in this project:
Back-end Developer
Back-end DeveloperContributions:34 commits, 1 push, 1 comment in 7 years 9 months
Contributions summary:Tony primarily contributed to the core functionalities of the Reverb project. They implemented command-line interface features, including new options and tabular output. Significant code changes involve Java files, specifically CommandLineReVerb and various files related to argument identification and confidence metrics. They also focused on refactoring and improving the normalization processes.
nlpextractionopen-information-extractioncorpus-linguisticsmachine-learning
afader/thompson-regex-js
Sep 2015 - Feb 2018
Contributions:35 commits, 16 pushes, 6 branches in 2 years 5 months
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