Milan Šulc
Senior Lead Quantitative Research Analyst
Prague, Prague, Czechia
Summary
👤
Senior🎓
Top SchoolMilan Šulc is a senior quantitative research analyst and machine learning researcher with 13 years of experience building predictive models for energy markets and applied computer vision systems. He founded and led the Rossum AI Lab, driving document understanding and information extraction projects with enterprise partners including Toyota, Electrolux, Google and Xerox, and now leads quantitative research at Second Foundation. His PhD work on fine-grained image classification earned competition wins and underpins expertise spanning object detection, monocular 3D detection, image retrieval and Bayesian decision theory. Milan has a strong open-source pedigree—contributing SVM improvements and optimization algorithms to the widely used VLFeat computer vision library—and a track record of supervising successful student-industry collaborations. Based in Prague, he combines deep academic credentials (CTU PhD, exchange at UW–Madison) with hands-on engineering and leadership across research and product settings. Less obvious: he pairs theoretical rigor with practical code contributions, moving algorithms from MATLAB/C prototypes into production-ready toolkits.
13 years of coding experience
4 years of employment as a software developer
Engineering Exchange Student, GPA 4.0, Engineering Exchange Student, GPA 4.0 at University of Wisconsin-MadisonIng. (MSc.), Entrepreneurship and Commercial Engineering in Industry, Ing. (MSc.), Entrepreneurship and Commercial Engineering in Industry at Czech Technical University in Prague, Masaryk Institute of Advanced StudiesThe 1st Winter School in Computer Science and Engineering on Computer Vision, Israel 2017Vision and Sports Summer School 2015Doctor of Philosophy (PhD), Artificial intelligence and Biocybernetics, Doctor of Philosophy (PhD), Artificial intelligence and Biocybernetics at Faculty of Electrical Engineering, Czech Technical University in Prague
English, German, Czech
Github Skills (6)
matlab10
support-vector-machine10
documentation9
gd9
cprogramming-language9
sgd9
Programming languages (4)
Github contributions (5)
vlfeat/vlfeat
Mar 2013 - Jul 2013
An open library of computer vision algorithms
Role in this project:
Back-end Developer
Back-end DeveloperContributions:24 commits in 4 months
Contributions summary:Milan primarily worked on enhancing the SVM functionality within the VLFeat library. They added the SDCA algorithm, moved PEGASOS to SGD, and made various documentation updates. Additionally, the user made adjustments to the demo scripts and documentation to align with changes to the SVM training process. These changes involved modifying the MATLAB code and associated documentation to improve the clarity and usability of the library.
structure-from-motionvisiondeep-learningobject-detectioncomputer-vision
sulc/tfrecord-viewer
Jun 2019 - Jan 2022
TFRecord Viewer for browsing contents of TFRecords with object detection/classification annotations.
Contributions:1 review, 8 commits, 3 PRs in 2 years 7 months
annotationsdeep-learningobject-detectioncomputer-visionmachine-learning
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