Kyle D
Senior Machine Learning Engineer at Netflix
United States
Summary
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Rockstar🎓
Top SchoolKyle D is a Senior Machine Learning Engineer with over a decade of experience building production ML systems at Netflix, where he progressed from junior engineer to lead researcher focused on recommendation quality, deep learning, and NLP. He combines hands-on backend engineering—contributing CUDA-accelerated feature extractors and format outputs to the well-known VMAF video-quality project—with product-minded program management that drove algorithm optimizations for personalization. Known for translating research into measurable improvements in user satisfaction, he blends rigorous CS training from UCLA with a pragmatic focus on performance, memory management, and operational robustness. Equally comfortable diving into low-level implementations as he is shaping team strategy, he brings creative leadership and a track record of shipping impactful, scalable ML solutions.
12 years of coding experience
5 years of employment as a software developer
University of California, Los Angeles
Stackoverflow
93reputation
2kreached
5answers
2questions
Github Skills (23)
algorithm10
code-optimization10
algorithms10
c-language10
optimisation10
cuda10
numerical-optimization10
cprogramming-language10
optimization10
image-processing9
performance-tuning9
csv8
xml8
json8
curl6
Programming languages (11)
Github contributions (5)
Netflix/vmaf
Aug 2018 - Jan 2023
Perceptual video quality assessment based on multi-method fusion.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 releases, 65 reviews, 611 commits in 4 years 5 months
Contributions summary:Kyle contributed primarily to the core functionality of the VMAF project, with a focus on building and maintaining back-end components. The user implemented several feature extractors, including integer-based PSNR, SSIM, and VIF implementations, integrating CUDA acceleration for performance improvements. Additionally, the user added support for generating and writing output in various formats, including JSON, XML, and CSV, while also addressing memory management and performance concerns within the codebase.
pytorchvideo-quality-assessmentfeature-detectionperceptualmethod
kylophone/libADSR
Jul 2015 - May 2017
Contributions:20 commits, 15 pushes, 1 branch in 1 year 10 months
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