Brad Dwyer
Founder, CTO at Roboflow
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolBrad Dwyer is a founder and CTO with 12 years of experience building developer-focused products that make complex AI practical for everyday engineers. As co-founder and technical leader at Roboflow in San Francisco, he helped turn computer vision from research curiosity into production-ready tooling used by enterprises to automate large-scale monitoring tasks. Prior to Roboflow he bootstrapped Hatchlings into a profitable social gaming company with 15 million players, then transitioned leadership and served as an advisor. Hands-on as an ML engineer and open-source contributor, he implemented smoothing and tracking improvements in the popular roboflow/supervision library to make detections more robust across video frames. He combines product intuition, deep engineering chops, and a knack for shipping developer tools that lower the bar for adopting machine learning.
12 years of coding experience
11 years of employment as a software developer
Iowa State University
Stackoverflow
6,405reputation
460kreached
54answers
75questions
speech-recognition
top-5%
Github Skills (16)
object-detection10
computer-vision10
machine-learning10
python10
speech-recognition9
pytorch9
opencv8
git6
rake6
ios6
capistrano6
swift6
roboflow6
mapbox-gl-js6
ruby-on-rails6
Programming languages (15)
Github contributions (5)
roboflow/supervision
Jan 2023 - Jul 2024
We write your reusable computer vision tools. 💜
Role in this project:
ML Engineer
ML EngineerContributions:3 reviews, 2 PRs, 9 pushes in 1 year 6 months
Contributions summary:Brad implemented and refined a `Smoother` class within the `supervision` library, which is designed for computer vision applications. The `Smoother` class aims to reduce noise in object detections by averaging predictions across multiple frames, integrating with existing trackers. The contributions involve code changes related to detections, tracking, and smoothing algorithms to enhance the accuracy and robustness of computer vision pipelines. Further contributions include documentation updates, and refactoring.
classificationcococomputer-visiondeep-learningimage-processing
roboflow/TFRecords
Dec 2019 - Jun 2022
TensorFlow record (.tfrecord) API for Node.JS and Browsers
Contributions:15 commits, 11 PRs, 15 pushes in 2 years 7 months
apitensorflowjsannotationsbrowsersnode-js
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