Gergely Szabo
Quantitative Analyst
Hungary
Summary
👤
Senior🎓
Top SchoolGergely Szabo is a quantitative analyst and senior software engineer with eight years in R&D and a prior decade of medical imaging development, combining strong mathematical training (MSc in Mathematics and Computer Science) with hands-on system and algorithm design. He has delivered production-grade imaging software and research tools—GUI frameworks in Qt, nonlinear PET/CT registration, segmentation, texture analysis for malignancy detection, and automated camera QC—blending signal-processing, statistical and fuzzy-logic methods. Now at Citi, he applies that rigorous, quantitative mindset to finance, translating complex models into reliable, auditable code and architectures. Comfortable across C++, Linux, and scientific libraries (ITK/VTK), he pairs deep domain knowledge with practical engineering discipline. An understated strength is his long history of bridging research algorithms and usable interfaces, making sophisticated techniques accessible to end users.
8 years of coding experience
9 years of employment as a software developer
Master of Science (MSc), Mathematics and Computer Science, Master of Science (MSc), Mathematics and Computer Science at University of Szeged
English, Hungarian, French, Spanish
Stackoverflow
11reputation
0reached
1answer
0questions
Github Skills (56)
cypress-plugin9
compression-algorithm9
buffer9
zlib9
deflate9
jest-image-snapshot9
compression9
parser8
zstd8
plugin8
visual-regression-testing8
zstandard8
lz48
snapshots7
hmac7
Programming languages (4)
Github contributions (5)
OneIdentity/zstd-js
Apr 2022 - Jan 2023
Contributions:1 review, 13 commits, 9 PRs in 10 months
szaboge/dobble
Dec 2018 - Dec 2019
Contributions:9 pushes, 1 branch in 1 year
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