Abhirami Mohanarangam

Backend and cloud engineer driving modernization of enterprise data, workflow, and platform systems with distributed microservices, cloud-native architectures, and high-impact automation.

• Architected and delivered a centralized Hierarchy Management System using React.js, Java and Spring Boot, unifying firmwide reference data and exposing secure, high-throughput REST APIs; automated approval workflows with Spring State Machine, reducing 10–15 day processes to single-click execution.
• Leading the migration of on-prem data lake workloads to Snowflake, redesigning data models, ingestion pipelines, and orchestration workflows to enable real-time analytics, elastic compute, and sub-second querying.
• Designed and built distributed microservices for the Anaplan Nexus SDLC and integration platform, enabling seamless model migrations, entitlements, APIs, and metrics workflows; leveraged DynamoDB, S3, and AWS Fargate for scalable persistence and containerized deployment, secured via ALB-based authentication.
• Developing an LLM-driven platform assistant using RAG, tree-of-thought, and few-shot prompting to streamline navigation of entitlements and application workflows, improving self-service support for thousands of internal users.

Full-stack and backend engineer contributing to platform scalability, cloud migrations, and distributed system reliability.

• Led the cloud migration of the firmwide Cost Allocation Model from Spark/Hive to AWS Glue & S3, supporting 10M+ records; integrated Athena, improving query performance from 50–60 seconds to ~6 seconds.
• Developed a full-stack internal platform (java, Spring Boot & React.js) aggregating 1,000+ applications with 10k+ daily users; implemented entitlement visibility, documentation workflows, and centralized release-note publication through scalable REST APIs; deployed Dockerized microservices on AWS Fargate/ECS with Cypress end-to-end testing.
• Built a reusable React.js UI components library for internal platforms, including release-note modules, navigational layouts, and standardized templates—improving UI consistency and reducing implementation time across onboarded applications.

• Engineered an automated scheduling and orchestration platform using React.js, Spring Boot, AWS EventBridge, and DynamoDB, replacing manual batch runs with event-driven pipelines and cutting operational effort by 70%.
• Built comprehensive unit, integration, and component testing frameworks using JUnit, Mockito, and Jest, embedded in CI pipelines to improve reliability and detect regressions early.