Artur Karazniewicz
Owner Axiombrain.ai, Ex-Allegro at axiombrain.ai
Warsaw, Masovian Voivodeship, Poland
Summary
👤
Senior🎓
Top SchoolArtur Karazniewicz is a technical leader and founder with 11+ years of experience building AI-driven software and high-performing teams, currently leading axiombrain.ai to deliver AI automation services for financial markets. He combines deep domain expertise in insurance, banking and pensions with hands-on AI/Deep Learning work in NLP and computer vision, and a long history of architecting large-scale data and integration platforms. Artur’s background spans enterprise architecture (TOGAF), Big Data (Spark/Hadoop), cloud solutions, and low-level systems — he’s coded in languages from MOS 6502-era assembly to modern functional and object-oriented stacks. He has led Guidewire implementations, blockchain insurance platform development, and large-scale analytics teams at Allegro and EY, consistently translating complex financial requirements into production systems. Known for blending people-first leadership with rigorous engineering discipline, he delights in refactoring systems and mentoring engineers to deliver measurable business outcomes. An uncommon strength is his formal mathematical grounding (cryptography, category theory, statistics) which informs robust, elegant solutions across AI and enterprise software.
11 years of coding experience
15 years of employment as a software developer
MSc, Mathematics, Computer Science, MSc, Mathematics, Computer Science at Nicolaus Copernicus University
Github Skills (62)
text-recognition10
ocr-recognition10
scene-text10
rosetta10
annotations9
toolbox9
pytorch9
python9
datasets9
machine-learning9
ocr9
cpu9
coco9
gpu9
deep-learning9
Programming languages (9)
Github contributions (5)
akarazniewicz/cocosplit
Sep 2019 - Apr 2022
Simple tool to split COCO annotations into train/test datasets.
Contributions:6 commits, 1 PR, 5 pushes in 2 years 7 months
splitannotationstest-datasetscocodataset
akarazniewicz/smartparam
Apr 2021 - May 2024
Efficient and lightweight parameter engine.
Contributions:3 PRs, 7 pushes, 3 branches in 3 years 1 month
machine-learningparameter
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