Jon Sneyers
Senior Image Researcher at Cloudinary
Asse, Flemish Brabant, Belgium
Summary
🤩
Rockstar🎓
Top SchoolJon Sneyers is a Senior Image Researcher with over a decade of experience specializing in image processing and compression, currently leading research at Cloudinary. He has driven practical product features like q_auto, f_auto and e_cartoonify, while also chairing the JPEG XL ad hoc group and leading the ISO/IEC 18181 standard work, bridging research and industry adoption. Creator of the Free Lossless Image Format (FLIF) and contributor to the libjxl reference implementation, he combines deep algorithmic expertise with hands-on systems development for real-world tooling. His academic background (PhD from KU Leuven) in declarative and probabilistic-logic programming informs a rigorous approach to image algorithms and compression trade-offs. Based in Belgium, he uniquely blends standardization leadership, open-source impact, and product-focused engineering.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at KU LeuvenHigh School/Secondary Diplomas and Certificates, High School/Secondary Diplomas and Certificates at Sint-Albertuscollege Haasrode
Dutch, English, French, German
Stackoverflow
126reputation
1kreached
3answers
0questions
Github Skills (18)
deco10
c-language10
jpeg-xl10
decode10
image-decoder10
cprogramming-language10
decoder10
image-compression10
algorithm9
algorithms9
implement9
encoding9
encode9
simd6
color-palette6
Programming languages (18)
Github contributions (5)
libjxl/libjxl
May 2021 - Jan 2023
JPEG XL image format reference implementation
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1076 reviews, 219 commits, 745 PRs in 1 year 7 months
Contributions summary:Jon's commits primarily focused on modifying the JPEG XL image format reference implementation. They implemented simpler banners for the cjxl and djxl tools and added support for specifying the --effort parameter for image compression. Additionally, the user contributed code for parsing and handling Y4M input, and incorporated features related to lossy palette and pixel handling during image decoding. They also addressed various bugs including errors related to inverse palettes.
lossless-image-compressionjpegimagelossless-compression-algorithmpsd
FLIF-hub/FLIF-hub.github.io
Oct 2015 - Apr 2021
Homepage of Free Lossless Image Format (FLIF)
Contributions:60 commits, 16 PRs, 52 pushes in 5 years 6 months
losslessimage-formatflif
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