Adam Kelly
Staff Software Engineer, Manufacturing Digital Twin & AI Architect at Immersive Limit
Boulder, Colorado, United States
Summary
👤
Senior🎓
Top SchoolAdam Kelly is a Staff Software Engineer and AI Architect specializing in manufacturing digital twins, synthetic data, and precision computer vision, currently building 3D-rendered training pipelines at General Motors. With 11 years of experience spanning Microsoft HoloLens early engineering to VR/AR and robotics prototyping, he blends game-engine mastery (Unreal, Unity, Omniverse, Blender) with production-grade Python and deep learning. He designs synthetic-data workflows to detect manufacturing defects at scale and mentors cross-disciplinary teams to integrate simulation, vision, and tooling. Creator of Immersive Limit, he publishes practical tutorials and courses that translate complex 3D/AI topics into hands-on learning, reflecting a strong educator streak alongside applied R&D. Based in Boulder, Colorado, he pairs systems-level architecture thinking with a maker’s focus on visual fidelity and data realism that improves model robustness in real-world factory environments.
11 years of coding experience
15 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at University of Michigan
English
Github Skills (29)
intelligent10
simulations10
synthetic10
reinforcement-learning10
mask-rcnn10
keras10
mask10
segmentation10
object-detection10
deep-reinforcement-learning10
ml-agents10
serve10
unity3d10
faster-rcnn9
imitation-learning9
Programming languages (4)
Github contributions (5)
akTwelve/Mask_RCNN
Jul 2018 - Jun 2020
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Contributions:7 commits, 4 PRs, 5 pushes in 1 year 11 months
maskdeep-learningr-cnnobject-detectionmask-rcnn
akTwelve/cocosynth
Mar 2019 - May 2021
COCO Synth provides tools for creating synthetic COCO datasets.
Contributions:13 commits, 20 PRs, 16 pushes in 2 years 2 months
datasetcococomputer-visionsyntheticcoco-datasets
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