Dwayne Jones
Senior ML AI Engineer at Tribe AI
Everett, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolDwayne Jones is a Senior Machine Learning and Computer Vision Engineer with 13+ years of experience building multimodal systems that combine images, video, and 3D data for both perception and generation. He specializes in productionizing spatial AI across hybrid cloud and edge deployments, with hands-on leadership taking products from early prototypes to seven-figure ARR and supporting regulated domains like dental healthcare. His work spans research and engineering—scaling video/text-to-3D pipelines, optimizing latency/cost/drift, and shipping robust inference on devices such as Nvidia Jetson. Dwayne has collaborated with the MIT Media Lab, led engineering at startups, contributed to open-source front-end tooling like fin-hypergrid, and maintains a practical focus on failure modes and system tradeoffs. Outside core engineering he teaches STEM and STEAM, builds interactive AI installations, and has experience translating creative constraints (identity, geometry) into reliable real-world models. Based in Everett, MA, he blends research rigor with product-minded execution across multimodal and 3D-aware ML systems.
13 years of coding experience
11 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at Rochester Institute of TechnologyH.S. Biomedical Sciences General, H.S. Biomedical Sciences General at Brooklyn Technical H.S
Github Skills (4)
javascript10
grid9
grids9
canvas9
Programming languages (7)
Github contributions (5)
fin-hypergrid/core
May 2016 - Oct 2018
A canvas-based super high performant grid renderer API
Role in this project:
Front-end Developer
Front-end DeveloperContributions:1 release, 168 commits, 268 PRs in 2 years 6 months
Contributions summary:Dwayne primarily focused on updating and reverting changes to the `ColumnMoving.js` file, suggesting involvement with grid component functionality. These changes appear to remove or revert comments, indicating maintenance or refactoring efforts. Additionally, the user reverted changes related to version bumping and adjustments to shared dependencies, indicating a potential debugging and dependency management role. The commits show interaction with core grid components and related features.
apihypergridcanvasjavascriptrenderer
Dwaynekj/study-the_algorithms_python
Jan 2023 - Feb 2025
All Algorithms implemented in Python
Contributions:19 pushes in 2 years 1 month
pythondata-structuresalgorithms-implemented
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