Alex Shan
California, United States
Summary
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RockstarAlex Shan is a Stanford-trained software leader and founder with 4 years of hands-on experience building AI-driven systems at the intersection of research and product. As Co-Founder & CEO of Judgment Labs, he leads work on agent behavior monitoring while concurrently researching model evaluation at Stanford SAIL under Prof. Chris Manning. Previously he drove multi-agent and LLM-based networking research at Juniper and shipped product work as an early hire at Hinkal, blending theory and production engineering. An active open-source contributor, Alex enhanced visualization and RTL support for Stanford NLP’s widely used Stanza library, including spaCy displacy integration and Streamlit demos that make complex dependency and NER outputs accessible. Based in Palo Alto, he combines startup grit with academic rigor and an uncommon emphasis on interpretable, developer-friendly ML tooling.
4 years of coding experience
Github Skills (18)
named-entity-extraction10
named-entity-recognition10
entity-extraction10
python10
dependency-parsing10
spacy10
natural-language-processing10
nlp10
visualization9
notebook9
ipython9
visualizations9
jupyter-notebook9
streamlit9
machine-learning8
Programming languages (1)
Github contributions (5)
stanfordnlp/stanza
Jun 2022 - Dec 2022
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:11 commits, 210 pushes, 7 branches in 5 months
Contributions summary:Alex primarily focused on enhancing the visualization capabilities of the `stanza` library, specifically for named entity recognition (NER) and dependency parsing. They implemented and documented visualization features, including support for right-to-left languages and integration with spaCy's `displacy`. They also contributed to a Streamlit application and an IPython notebook to showcase Semgrex search results. The contributions include code for parsing, rendering, and displaying dependency relationships within the visualizations, as well as adjustments to improve display characteristics.
nlppytorchhuman-languagesnamed-entity-recognitionpython
JudgmentLabs/judgeval
Oct 2024 - Apr 2025
Contributions:76 reviews, 61 PRs, 150 pushes in 5 months
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