Summary
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.
9 years of coding experience
7 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Universität des Saarlandes
Bachelor's degree Computing and Information Technologies, Bachelor's degree Computing and Information Technologies at University of Montenegro