Indra Babu Alapati

Architected and delivered cloud-native backend infrastructure for the Wealthscape Brokerage Platform, including multi-tenant document orchestration workflows for brokerage servicing, transaction processing, and clearing operations. Designed an event-driven recovery framework using S3, SQS, and Lambda to automatically handle transient processing failures and remove manual retries. Built an intelligent document processing pipeline on EKS using Python/FastAPI, OCR, and ML to automate splitting, metadata extraction, classification, indexing, and routing—reducing processing time from minutes to seconds. Prototyped high-throughput ingestion using Java 21 virtual threads and streaming I/O, and evaluated orchestration patterns with Step Functions, DynamoDB, and AWS Batch. Improved latency and reliability with tenant-isolated caching, observability with Datadog/JVM profiling, and Kubernetes performance diagnostics. Mentored engineers and translated architecture standards into production-ready

Engineered resilient cloud-native microservices for real-time anti-money laundering (AML) and sanctions compliance screening across brokerage and mutual fund accounts. Developed compliance and risk alert processing services using Java, Spring Boot, Spring Cloud, Netflix OSS components, JWT authentication, and Oracle Database. Implemented event-driven messaging using IBM MQ for real-time compliance alerts from enterprise systems, and built high-volume compliance workflows with Spring Batch orchestrated via Control-M. Prototyped Kubernetes deployment strategies to support migration from Pivotal Cloud Foundry to AWS EKS.

Designed secure, compliant backend services for the 3M Performance Matrix healthcare analytics platform, supporting provider benchmarking data models and executive reporting dashboards. Built a cross-cloud data transfer solution between Amazon S3 and Google Cloud Storage using parallel streaming transfers to minimize JVM memory utilization. Developed RESTful backend services for clinical and operational metrics. Prototyped event-driven ingestion from S3 to Aurora using Lambda and S3 LOAD for large-scale analytical data ingestion. Created a reusable reporting framework enabling exports of dashboards and reports to PowerPoint and PDF.