Collaborative Notes
Many clients. One shared state.
A collaborative note-taking environment where multiple users edit the same document and see each other’s cursor activity in real time.
FULL-STACK SOFTWARE ENGINEER · EGER, HUNGARY
I design and build full-stack .NET applications, real-time collaborative experiences, and retrieval-driven AI systems—from client interfaces to APIs, data models, and deployment.
01 / SELECTED WORK
Each project is shaped around a different kind of technical problem: coordinating live state, delivering a cross-platform product, and retrieving trustworthy evidence for AI-assisted answers.
Many clients. One shared state.
A collaborative note-taking environment where multiple users edit the same document and see each other’s cursor activity in real time.
One product across mobile, desktop, API, and data.
A .NET MAUI Blazor Hybrid application for planning meals, managing recipes, and coordinating a shared family food environment—with AI used as one service inside a larger product.
Route the question. Retrieve the evidence. Then ask the model.
An intelligent document retrieval and question-answering system combining RAG, structured retrieval, vector search, reranking, and practical agent-style orchestration.
02 / CAPABILITIES
The toolkit follows the architecture. These are the three areas where I bring the strongest end-to-end engineering perspective.
Cross-platform and web applications with clear client, service, real-time, and data boundaries.
AI systems grounded in ingestion, retrieval quality, orchestration, and evidence—not prompt wrappers.
Relational data and APIs that connect product workflows with enterprise and operational systems.
03 / ENTERPRISE & INTEGRATION
Beyond product interfaces, I work with the boundaries where software meets enterprise data, production processes, infrastructure, and physical output.
Connecting application workflows to enterprise source data.
Designing dependable interfaces and automated data exchange.
Building software around production and operational processes.
Turning validated system data into reliable physical output.
Working across relational systems and existing data boundaries.
04 / ABOUT
My work crosses frontend, backend, data, infrastructure, and practical AI. I enjoy making complex systems understandable—both in their architecture and in the experience they offer to the people using them.