Laszlo builds and fixes search systems: hybrid retrieval, custom embeddings, reranking, and RAG pipelines. His current work focuses on fine-tuned embeddings, cross-encoder reranking, hybrid search fusion, GraphRAG, and knowledge graph-powered retrieval. He previously built search and ML systems at an ed-tech platform, working on Elasticsearch, text classification, and content relevance at scale.