Isaac Robinson

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Summary

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Rockstar
Isaac Robinson is a research-driven machine learning engineer and founder based in New York, combining hands-on model development with product-oriented entrepreneurship. A Yale graduate, he has shipped real-time computer vision systems across startups and edge hardware—cutting object detection latency by half and improving depth estimation accuracy while enabling multi-task dense prediction on devices. He co-founded DirectAI to push vision models without training data and now leads research at Roboflow, bridging academic ideas and production needs. His background spans healthcare microscopy at the NIH, HIPAA- and PCI-compliant ML products, and early work automating financial and drone systems, showing a consistent focus on practical, impact-oriented AI. Notably, he has experience building hiring processes and in-house AI teams, reflecting both technical depth and operational leadership.
code1 year of coding experience
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Github Skills (14)

yolov810
tensorrt10
object-detection10
yolov510
computer-vision10
docker10
inference10
instance-segmentation10
onnx10
jetson10
python10
classification10
yolov79
machine-learning9

Programming languages (2)

Jupyter NotebookPython

Github contributions (4)

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roboflow/rf-detr

Mar 2025 - Apr 2025

RF-DETR is a real-time object detection model architecture developed by Roboflow, SOTA on COCO & designed for fine-tuning.
Contributions:2 reviews, 6 PRs, 4 pushes in 12 days
computer-visiondetrmachine-learningobject-detectionrf-detr
roboflow/inference

Oct 2024 - Mar 2025

Turn any computer or edge device into a command center for your computer vision projects.
Contributions:5 reviews, 13 PRs, 46 pushes in 4 months
agentsclassificationcomputer-visiondeploymentdocker
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Isaac Robinson