Nil Fons Miret
Software Engineer at Netflix
London, England, United Kingdom
Summary
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RockstarNil Fons Miret is a software engineer based in London with eight years of experience and a strong foundation in mathematics and computer science from UPC Barcelona. Now at Netflix, he brings practical expertise in back-end development and test automation, having made notable contributions to the widely used VMAF project for perceptual video quality assessment. His work on CAMBI algorithm features, JSON output improvements, and increased test coverage demonstrates a focus on measurable quality, performance optimization, and robustness. Comfortable operating at the intersection of research-grade signal processing and production systems, he combines academic rigor with pragmatic engineering to improve complex media pipelines.
8 years of coding experience
Github Skills (8)
c1710
unit-testing10
algorithms10
c1110
test-automation10
cprogramming-language9
c-language9
json9
Programming languages (1)
Github contributions (5)
Netflix/vmaf
Oct 2021 - Dec 2022
Perceptual video quality assessment based on multi-method fusion.
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:23 reviews, 173 commits, 137 PRs in 1 year 2 months
Contributions summary:Nil contributed significantly to the VMAF project by implementing and testing new features, specifically related to the CAMBI (Contrast-Adaptive Multi-Band Interpolation) algorithm for video quality assessment. Their work included adding new features such as the FPS field in JSON output, enhancing test coverage by adding test cases for CAMBI filter mode and spatial mask functions, and optimizing existing code to improve efficiency. They also addressed code repetition and fixed bugs, improving the overall stability and functionality of the project.
pytorchvideo-quality-assessmentfeature-detectionperceptualmethod
nilfm/Algorithms
Oct 2019 - Oct 2019
Contributions:39 commits, 36 pushes, 1 branch in 8 days
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