Maciej Z.

I help organizations harness cutting-edge AI and NLP technologies to solve complex real-world problems, delivering scalable, production-ready solutions that enhance user experience and operational efficiency. With over a decade of experience leading AI research and development across diverse industries and multinational teams, I bring deep expertise in Natural Language Processing, computer vision, and signal processing to build impactful tools like plagiarism detectors, recommendation systems, advanced summarization engines, and dialogue management solutions.

My added value lies in translating state-of-the-art AI research into practical applications that serve tens of thousands of users globally. I specialize in driving innovation through continuous research, designing highly efficient models for multilingual and multi-domain challenges, and leading cross-functional teams to deliver robust AI-driven products.

Typical projects I lead include:

Designing and deploying AI-powered plagiarism detection and expert recommendation tools for a European Institution.

Leading NLP research and implementation for map search and input denoising across multiple languages at Huawei.

Developing compressive text summarization, sentiment analysis, text labeling, and quality assessment solutions at Trivago.

Architecting natural language generation and domain-specific speech recognition correction tools for Samsung’s dialogue systems and IoT services.

This blend of hands-on development, research leadership, and cross-industry application ensures effective AI solutions tailored for both commercial impact and technical excellence.