Knowledge graph applications: Hands-on experience building, querying, or extracting signals from knowledge graphs-ideally over business entity networks (companies, persons, addresses, relationships) to support identity verification, fraud detection, or risk decisioning. Entity resolution for business or individual identities: Experience disambiguating and linking records across noisy, incomplete, or conflicting data sources-particularly in KYB, KYC, AML, or identity verification contexts where the same real-world entity may appear under different names, addresses, or tax IDs.