Ellis Brown
Visiting Researcher at NYU Courant Institute of Mathematical Sciences
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolEllis Brown is a visiting researcher and PhD student in computer science at NYU with a decade of experience building and shipping AI and engineering systems across industry and academia. Currently at Meta FAIR after internships at AI2 and deep learning research roles at CMU, Ellis bridges cutting-edge research in computer vision and practical engineering. He has strong ML systems and data-pipeline expertise, evidenced by contributions to popular open-source projects such as ssd.pytorch and maintenance fixes for the widely used google-images-download tool. Prior roles at BlackRock’s AI Labs and multiple research internships reflect his ability to translate research ideas into production-quality code. Ellis holds MS and ongoing PhD training, plus coursework at Stanford and Columbia, combining rigorous theory with hands-on implementation. Colleagues describe him as someone who routinely stabilizes brittle tooling and data ingestion layers—work that quietly enables larger model improvements.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at New York UniversityMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Carnegie Mellon UniversityMary Institute and St. Louis Country Day School (MICDS)Bachelor of Arts - BA, Mathematics, Bachelor of Arts - BA, Mathematics at Vanderbilt UniversityNon-Degree Graduate Coursework, Computer Science, Non-Degree Graduate Coursework, Computer Science at Columbia UniversityNon-Degree Graduate Coursework, Computer Science, Non-Degree Graduate Coursework, Computer Science at Stanford University
Stackoverflow
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Github Skills (12)
object-detection10
data-handling10
computer-vision10
json10
data-loading10
pytorch10
python10
datasets10
data-set10
webscraping9
machine-learning9
testing8
Programming languages (7)
Github contributions (5)
amdegroot/ssd.pytorch
Feb 2017 - Mar 2018
A PyTorch Implementation of Single Shot MultiBox Detector
Role in this project:
Back-end Developer
Back-end DeveloperContributions:110 commits, 9 PRs, 59 pushes in 1 year
Contributions summary:Ellis's primary contribution involved modifying and adding code related to data loading and VOC dataset handling within the PyTorch implementation of SSD. They improved dataloading, added VOC download scripts, and updated the configuration to automatically detect the VOC dataset root. These changes suggest they were working on building and adapting the project for object detection tasks, likely refining data preparation and integration with the network architecture.
pytorchsingle-shot-multibox-detectorimage-recognitionmultibox-detectordeep-learning
Joeclinton1/google-images-download
Sep 2022 - Sep 2022
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
Role in this project:Backend Developer
Backend DeveloperContributions:6 commits, 1 PR, 1 comment in 7 days
Contributions summary:Ellis primarily focused on fixing issues related to Google Images' response format, directly impacting the core functionality of image downloading. They addressed breaking changes, updated error messages, and corrected Chromium download functionality. The user also made repeated adjustments to the code to adapt to changes in Google's image data format.
pythonpython-scriptready-to-runimage-processingpython3
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