Ali Abdalla
Ali Abdalla is a builder whose work helps people share and use machine-learning systems. Gradio's founding team, which includes him, entered PearX's S19 cohort in 2019; he coauthored the 2019 paper about the open-source model-sharing tool. His research included neural methods for evaluating generated text in 2019 and 2020, and he coauthored Gradio-Lite, which runs Gradio apps in a browser, in 2023. As of October 2026, he is a founder of Shotwell AI, which builds data-quality tools for dexterous robotics.
Timeline
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2019
PearX's S19 cohort
In 2019, Gradio's founding team, including him, joins PearX's S19 cohort. During the 14-week program, the team runs four pilots with speech or text companies.
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2019
A paper on Gradio
He coauthors the Gradio paper in 2019, presenting an open-source Python package that gives machine-learning models visual interfaces people can share through a URL.
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2019–2020
Neural text evaluation
He coauthors Towards Neural Language Evaluators in 2019, which proposes Transformer language models for assessing summaries. In 2020, he coauthors NUBIA, a method for building automatic text-generation metrics from machine-learning models.
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2021
Hugging Face acquires Gradio
In December 2021, Hugging Face acquires Gradio, where he is a founder.
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October 2023
Running Gradio in browsers
In October 2023, he coauthors Gradio-Lite, a JavaScript library that runs Gradio applications in browsers through Pyodide.
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As of October 2026
Founding Shotwell AI
As of October 2026, he is a founder of Shotwell AI, which builds a data-quality layer for dexterous robotics with dense annotations and task validation.
Career
- NowShotwell AIFounder
- GradioFounder
Sources and credits
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- Looking back at PearX S19 alum Gradio’s journey, now part of Hugging Face
- Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild
- Towards Neural Language Evaluators
- NUBIA: NeUral Based Interchangeability Assessor for Text Generation
- Gradio is joining Hugging Face!
- Gradio-Lite: Serverless Gradio Running Entirely in Your Browser
- shotwell.ai: Annotations for robotics data | Y Combinator