Jesse Vig
Cofounder at Stealth
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolJesse Vig is a cofounder and former Lead Research Scientist at Salesforce AI Research with seven years of industry experience building and interpreting NLP systems. His work spans text summarization, simplification, retrieval-augmented generation, and explainable AI, and he has published first-author papers in flagship venues including a NeurIPS spotlight and award-winning IUI work. He builds user-facing tools that make models tangible—most notably the popular BertViz attention visualization library (7k stars) and the voice app 100 Years Ago. Jesse blends rigorous academic training (PhD-level research) with hands-on full-stack development, frequently shipping visualization and UI improvements for NLP tooling. He is based in the San Francisco Bay Area and combines product-minded engineering with a long-standing interest in human-computer interaction and model interpretability. An understated thread through his career is turning complex model internals into intuitive visual artifacts that empower practitioners and users alike.
7 years of coding experience
16 years of employment as a software developer
Ph.D. Computer Science, Ph.D. Computer Science at University of MinnesotaBachelor's degree, Bachelor's degree at Wesleyan UniversityBachelor's degree Mathematics, Bachelor's degree Mathematics at Oberlin College
Github Skills (6)
jupyter-notebook10
javascript10
nlp10
d3js10
front-end-development10
user-interface9
Programming languages (2)
Github contributions (5)
jessevig/bertviz
Dec 2018 - Oct 2022
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:4 releases, 235 commits, 5 PRs in 3 years 11 months
Contributions summary:Jesse primarily worked on the `bertviz` repository, focusing on attention visualization for NLP models. Their commits involved implementing user interface components and back-end functionality for attention maps. Specifically, they contributed to the development of detailed and summary views by adding new features and fixing existing display issues in Jupyter notebooks. These changes included display multiple cells, refactoring code, adding a filter for attention types, and incorporating additional UI changes.
nlppytorchtransformersbertvisualize
robustness-gym/summvis
Mar 2021 - Jun 2022
SummVis is an interactive visualization tool for text summarization.
Contributions:111 commits, 96 pushes, 1 branch in 1 year 2 months
nlppythoninteractive-visualizationtext-summarizationsummarization
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