Dustin Franklin
Chief Systems Engineer at Self-employed
United States
Summary
🤩
Rockstar🎓
Top SchoolDustin Franklin is an applied AI and autonomous systems advisor with over a decade of experience building GPU-accelerated robotics and deep learning systems, blending roles from Principal Technical Marketing Engineer at NVIDIA to hands-on systems engineering for robot platforms. He specializes in deploying real-time inference on NVIDIA Jetson, contributing extensively to flagship open-source projects like jetson-inference, ROS integration, and JetBot simulation, and routinely improves documentation and developer workflows to lower the barrier to edge AI. Dustin’s background spans GPU software and rendering early in his career to production ML containers, reinforcement learning, and ROS nodes—demonstrating both research-minded experimentation and production-focused engineering. Based in the United States and trained at Johns Hopkins, he pairs practical robotics digital-twinning (Gazebo/Collada) with containerized ML stacks, and even publishes community-facing resources such as the Jetson AI Lab and an active Discord for builders.
10 years of coding experience
21 years of employment as a software developer
Johns Hopkins University
Github Skills (30)
pytorch10
container10
docker10
c-language10
robotics10
gazebosim10
python10
jetson10
image-processing10
technical-writing10
machine-learning10
dockers10
nvidia-jetson10
deep-learning10
tensorflow10
Programming languages (9)
Github contributions (5)
dusty-nv/jetson-containers
Mar 2020 - Sep 2022
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
Role in this project:
ML Engineer
ML EngineerContributions:2 reviews, 235 commits, 160 PRs in 2 years 7 months
Contributions summary:Dustin primarily contributed to the development and testing of machine learning containers for NVIDIA Jetson devices. Their work involved creating and modifying scripts for building, running, and testing Docker containers, specifically focusing on frameworks like PyTorch, TensorFlow, and libraries such as OpenCV and VPI. The user also added tests to verify the functionality of these containers. They also worked on the ROS (Robot Operating System) containers, indicating a focus on robotics and machine learning applications.
containerspytorchjetsonnvidianumpy
dusty-nv/jetson-inference
Jul 2016 - Jan 2023
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
Role in this project:Technical Writer
Technical WriterContributions:3 releases, 1725 commits, 25 PRs in 6 years 6 months
Contributions summary:Dustin's commits primarily focus on updating and refining documentation within the repository, with commit messages explicitly stating "updated docs". Code changes across multiple files, including source code and HTML files, indicate a focus on documenting the project's functionalities, APIs, and usage examples. The user appears to be responsible for improving the clarity and completeness of the project's documentation.
image-recognitionjetson-xavier-nxdeepstreamdigitstensorflow
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