Team
MediSea Robotics brings together expertise in trustworthy AI, multi-agent systems, knowledge integration and explainable AI, with a focus on governed orchestration for regulated, deployment-relevant environments.
Dr. rer. nat. Joseph Ambrose Pagaran
Known as Ambrosio• Founder & CEO • Lead Engineer
Physicist (Dr. rer. nat., University of Bremen, magna cum laude) and embedded / edge software engineer. At MediSea Robotics, he leads work on governed agent orchestration, knowledge-grounded assistants (RAG), and auditable decision flows for regulated, deployment-relevant environments.
What he focuses on
- Trustworthy AI & governance: policy checks, approval gates, and traceable outputs
- Multi-agent systems + knowledge integration for domain-specific decision support
- Explainability patterns that hold up in real operations (not just demos)
Engineering background
- 10+ years building sensor-driven, data-intensive systems across industrial IoT and R&D settings
- Embedded Linux + HMI stacks: Yocto / Buildroot; Qt 5 / Qt 6 (Widgets + QML); REST / WebSockets
- Quality + traceability mindset: automated validation / reporting; Git + CI/CD; Jira / Polarion workflows
Languages: English (C2), German (B2/C1) • Based in Austria (EU)
Dr. Yao Yao
Senior Researcher
Focus: multi-agent knowledge engineering, RAG pipelines, and domain-specific AI assistants for reliable and context-aware decision support and learning.
- Personalised adaptive learning assistants (knowledge-grounded GenAI)
- Interactive knowledge extraction using active learning + agents
- Knowledge integration across interdisciplinary domains
Read the full profile • Contact via: hello@medisearobotics.com
Explore more
See our previous projects and publications for additional proof points.