Nakul Khanna

Nakul Khanna is a London-based Software Engineer operating within the Data Technologies department at Bloomberg LP. In this specific role, he engineers backend systems responsible for automated data onboarding, web scraping, and targeted information extraction from multiple file formats, including XML, JSON, and PDFs. Additionally, Khanna develops and maintains a proprietary Python-based Business Rules Engine designed to execute complex data validation procedures and monitor system performance metrics across the firm's global financial data services. Before joining the corporate engineering division at Bloomberg, he focused his academic efforts on theoretical and applied computing. Khanna earned his degree in Computer Science from Gonville and Caius College, a highly regarded constituent institution of the University of Cambridge. His current professional focus remains centered on constructing scalable data processing pipelines, parsing unstructured financial information, and deploying robust validation frameworks for enterprise-level applications.