Anurag Malik is a Staff Software Engineer at Intuit, where he leads the data infrastructure powering QuickBooks Capital — a lending platform that has originated over $4 billion in small business loans. He specializes in real-time distributed data systems, ML-driven credit decisioning, and large-scale Apache Spark and Databricks pipelines in production FinTech environments.

His work includes reducing ML scoring latency from 24 hours to under 10 minutes, migrating 400+ legacy pipelines to optimized PySpark, and architecting Intuit's privacy-safe lending data collaboration platform using Databricks Clean Rooms — a first-of-its-kind implementation in financial services that he presented at the Databricks Data + AI Summit 2025.

Anurag writes for HackerNoon, DZone, and Medium's Towards Data Engineering publication, and has served as a peer reviewer for ICML, ICCV, and NeurIPS workshops. He holds an M.S. in Computer Science (Distributed Systems & Big Data Analytics) from Rochester Institute of Technology.