Aleksa Šuković

Head Of Machine Learning at DocuWare

Munich, Bavaria, Germany
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Summary

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Aleksa Šuković is the Head of Machine Learning at DocuWare with eight years of experience building and optimizing complex ML and software systems across fintech, medical imaging, and large-scale document processing. He combines academic rigor—publishing ICLR and ICML papers on robustness and alignment in multi-agent reinforcement learning—with hands-on product engineering, including designing distributed training libraries and GDPR-compliant cloud architectures. Previously he led ML teams at TUM on surgical AI and helped commercialize research toward a spin-off, demonstrating an ability to move models from lab to regulated production. Comfortable across the stack, Aleksa blends distributed systems, OCR/NER/document classification expertise, and research-led thinking to solve safety and scalability challenges in intelligent document workflows. An avid tinkerer and lifelong engineer, he often focuses on the intersection of reward design, causal effects, and practical system constraints—a perspective that informs both his research and product decisions.
code9 years of coding experience
job7 years of employment as a software developer
bookMaster's degree Computer Science, Master's degree Computer Science at Universität des Saarlandes
bookBachelor's degree Computing and Information Technologies, Bachelor's degree Computing and Information Technologies at University of Montenegro
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Github Skills (14)

simulation8
visualization7
mips6
reinforcement-learning5
autonomous-driving4
ai-agent4
two-way3
twitter3
sketch3
photoshop3
android3
angular2
typescript2
chrome2

Programming languages (5)

TypeScriptPHPHTMLJupyter NotebookPython

Github contributions (5)

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aleksa-sukovic/bekpekk-web

Apr 2018 - May 2018

Contributions:49 pushes, 9 branches in 1 month
Contributions:5 commits, 1 push in 5 months
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