- Principal AI Scientist at JetBridge AI and AI Solutions Architect at PanasonicWELL, designing and deploying GenAI-powered solutions at scale.
- Co-founding BUY-IT.AI β architecting multimodal AI systems for product detection in video, combining computer vision and generative models to transform retail ecosystems.
- Consulting on AI strategies, LLM orchestration, multi-agent systems, and production-grade ML pipelines for companies across finance, automotive, legal, and government sectors.
- Lecturer at WrocΕaw University of Science and Technology β teaching "Legal, Social, and Ethical Aspects of Artificial Intelligence" to master's-level AI students, covering IP rights, GDPR, AI Act, blockchain, smart contracts, and the ethics of AI productization.
- Forward deployment of AI agents β from brainstorming and ideation through pilots to production-ready systems using LLMs.
- Intersection of law and AI, focusing on legal frameworks for generative models, intellectual property, and responsible AI deployment.
- Multi-agent orchestration, RAG pipelines, and scalable AI infrastructure.
- AI agent and multi-agent system projects, especially those going from prototype to production.
- Research at the intersection of NLP, legal AI, and ethical AI deployment.
- Open-source NLP tools and benchmarks, particularly for the Polish language (CLARIN-PL).
- AI architecture, LLM integration, and building production ML systems.
- Legal aspects of AI β IP, data protection, GDPR, and AI ethics.
- NLP applications: sentiment analysis, spoken language understanding, information extraction, and dialogue systems.
- Building and leading ML/DS teams and defining data strategies.
- LinkedIn: Εukasz Augustyniak
- Email: [email protected]
- I hold degrees in both Law (MA) and Computer Science (PhD, MSc, BEng), and I've been merging these worlds ever since.
- I've researched and worked across Singapore, Spain, Slovenia, the UK (Cambridge), and Poland β but have been fully remote since 2017.
- I was part of the Cambridge TOP500 Innovators programme for Science, Management & Commercialization.





