Duncan Moss
Senior AI Developer Technology Engineer at NVIDIA
Portland, Oregon, United States
Summary
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Senior🎓
Top SchoolDuncan Moss is a Senior AI Developer Technology Engineer with 12 years of experience designing and shipping production-grade deep learning systems, now at NVIDIA after leadership roles at Megh and MangoBoost. He built Megh’s Deep Learning Engine, continuous training and contextual analytics frameworks, and a lightweight Nimble application stack—bridging FPGA, GPU, and CPU deployments for real-time video and high-frequency signal analytics. His background spans hardware and software, from FPGA-accelerated inference and compiler work to embedded signal-processing systems, informed by a PhD in Electrical and Electronics Engineering. Based in Portland, he combines research rigor with pragmatic engineering, often optimizing mixed-precision pipelines and streaming inference for ultra-low-latency deployments. An operator as comfortable with compiler-level quantization compliance as with end-to-end deployment architecture, he excels at turning complex ML research into scalable, field-ready products.
12 years of coding experience
10 years of employment as a software developer
The University of SydneyHigher School Certificate, Higher School Certificate at Knox Grammar School
Github Skills (48)
yolov510
object-detection10
coreml9
world-of-warcraft9
ios9
pytorch9
onnx9
machine-learning9
tflite9
deep-learning9
detector9
arxiv9
face-detector9
ultralytics8
face8
Programming languages (6)
Github contributions (5)
djmmoss/digit-serial-arithmetic
Feb 2016 - Apr 2019
Contributions:10 pushes, 4 branches in 3 years 1 month
djmmoss/vagrant-htcondor-cluster
Feb 2015 - Mar 2015
Contributions:18 commits, 4 pushes, 1 branch in 1 month
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