Summary
Srilatha Aluru is a Vice President and seasoned AI/ML and cloud data engineer with 20+ years building enterprise-grade systems across health sciences and financial services. She currently leads design and deployment of scalable GPU-backed AI/ML infrastructure and monitoring on AWS for JPMorgan Chase, having previously architected cost-saving CPU/GPU schedulers and unified risk platforms. Comfortable across Java, Python, .NET, Spark, Databricks and AWS/Azure services, she blends deep engineering with product-minded automation that has eliminated operational toil and saved millions. Her background includes delivering cloud-native clinical data platforms at Oracle and real-time IoT/streaming ML solutions for predictive maintenance, showing a rare mix of regulated-industry rigor and cutting-edge ML ops. A hands-on mentor and Scrum practitioner, she drives cross-functional teams to productionize models and pipelines end-to-end. Her GitHub reflects a practitioner’s curiosity—bridging data science experiments with production application engineering.
8 years of coding experience
22 years of employment as a software developer
University of California, San Diego
MS Computer Science and Engineering, MS Computer Science and Engineering at University of South Carolina
B.Tech, B.Tech at Osmania University