Building at the intersection of Web Engineering × AI × Agents
Angular & TypeScript roots → RAG → Agents → Graph-based AI
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Exploring retrieval, context, embeddings, and knowledge-driven LLM applications. |
Building systems where agents can reason, use tools, and collaborate on tasks. |
Exploring graph-based architectures for connecting knowledge, workflows, and AI. |
- Graph-Engine — experimenting with graph-based systems and AI workflows
- multi-agent-pipeline — orchestrating agents that collaborate on a task
- Retrieval-Augmented-Generation — RAG experiments in TypeScript
- RAG-Angular — an Angular UI on top of a RAG stack
How do we move from LLM-powered features to reliable AI systems?
I'm exploring this through agents, retrieval, graphs, orchestration, and the engineering patterns that make AI applications useful in the real world.
