Adam Rybinski

AI Engineer · Machine Learning · MLOps · Multi-Agent Systems

About

I build systems that reason. Multi-agent architectures, neuro-symbolic pipelines, and cloud-native deployments — whatever it takes to make AI verifiable, auditable, and actually useful.

Studied Cognitive Science and Neuroscience at Jagiellonian University. Worked across IBM, Betsson Group, Deriv, European Patent Office, and currently at Compose.Land building agentic AI solutions.

Based in Malta. Open to work.

Artificial Intelligence (AI) System Architecture Cloud Infrastructure Machine Learning RAG MLOps Multi-Agent Systems Neuro-Symbolic AI Python A2A MCP

Projects & Writing

LiveKnowledge, Part 1: Architecture Closed-loop knowledge engineering with LLMs + ASP — the architecture behind verifiable knowledge extraction. The Power of One When single-agent AI wins. Why not every problem needs orchestration. Multi-Agent Patterns Practical architectures for agentic systems — from simple chains to full mesh. Neuro-Symbolic AI Combining neural representations with symbolic reasoning for verifiable outcomes.

Selected Experience

AI Engineer — Compose.Land Apr 2022 – present
Agentic AI, neuro-symbolic systems, client-facing AI solutions.

Agentic AI Engineer — European Patent Office Jun 2025 – Jan 2026
Multi-agent systems supporting Europe's innovation ecosystem.

Generative AI Engineer — The Institute of Clever Stuff Apr 2025 – Jul 2025
RAG chat application on Cloudflare with custom knowledge base.

Software Engineer — Betsson Group Apr 2024 – May 2025
Design systems, cross-functional integration, agile delivery.

Software Engineer — Deriv Oct 2021 – Dec 2023
API design, automated testing, secure integrations.

Education

M.Sc. Cognitive Science — Jagiellonian University 2017 – 2019

B.Sc. Neuroscience — Jagiellonian University 2011 – 2015