Laszlo C.

I'm an AI Engineer building AI agents, AI search, and RAG systems that deliver mathematically proven outcomes. I don't rely on "vibes" by eyeballing before-and-after results. Instead, I conduct statistically rigorous evaluation (using confidence intervals and paired significance tests) to ensure that any reported improvement is an undeniable gain that withstands scrutiny - not just noise. I measure whether systems actually work before you invest engineering hours into them. BACKGROUND: Over 19 years in software engineering from Nasdaq-listed firms to fast-paced startups, I have specialized in the full AI retrieval stack: hybrid search (BM25 + semantic), custom embeddings, cross-encoder reranking, fusion, GraphRAG, and knowledge-graph retrieval. AUTHOR & AUTHORITY: - Author of "Designing Hybrid Search Systems" (Leanpub) - A practitioner's guide to BM25, dense retrieval, reranking, and fusion. - Upcoming book: "Measuring Search: Quantifying Uncertainty for Confident Decisions" – Covering the measurement and statistics side of AI search. WHAT CAN I DO FOR YOU: - Independent evaluation: Auditing and evaluating your existing AI, retrieval, or RAG pipelines to identify precise bottlenecks and quantify ROI. - Hands-on implementation: Architecting, building, or fixing complex search and AI systems from the ground up.