RamyaPratyusha - Senior Java Developer AI Coding Tools

Demonstrated experience with Retrieval-Augmented Generation (RAG).

Demonstrated experience with Large Language Models (LLMs).

Demonstrated experience with Agentic Workflows.

Demonstrated experience with Prompt Engineering.

Demonstrated experience with LangChain4j.

AI Developer Tooling: Architected and contributed to the SuiteCloud Developer Assistant, an AI-powered coding companion that automates code generation, documentation, customization, and testing for the SuiteCloud Platform.. Generative AI & LLM Research: Researched and prototyped LLM integrations using Cohere and LangChain4j to embed Retrieval-Augmented Generation (RAG) and context-aware code assistant features into NetSuite's platform architecture.. System Modernization: Implemented a automated migration solution from Bundles to SuiteApps, improving application scalability and reducing deployment times by 15%.. Developer Workflow Optimization: Engineered JSON and YAML configuration support for NetSuite platform customizations, reducing developer configuration errors by 20% relative to legacy XML workflows.. Enterprise Platform Support: Diagnosed and resolved critical customer issues related to SuiteApp installation lifecycle and custom object creation, ensuring platform reliability.

Digital Key Services: Architected a scalable smartphone vehicle access microservice using Java, Spring Boot, and Apache Kafka, reducing user access latency by 20%.. Real-Time Data Pipeline: Built an event-driven Kafka authentication pipeline processing real-time vehicle status updates with 99.99% operational reliability.. Driver Analytics & Gamification: Designed driver behavior algorithms and a gamified badge framework using Java and Spring Boot, driving a 30% increase in user engagement and contributing to a 10% reduction in reported safety incidents.. Vehicle Location & Geofencing: Engineered a real-time vehicle tracking and geofencing service using Java, Spring Boot, and Kafka, decreasing location retrieval times by 35% and enabling automated fleet alerts.

Centralized Notification Platform: Modernized the Customer Notification Service (CNS) into a multi-tenant platform powered by Spring Boot and Twilio, reducing operational costs by 20%.. Database Consolidation: Migrated notification data structures to MongoDB, optimizing query performance for high-volume automated messaging across SMS, email, and voice channels.. Child Support Portal: Architected a Proactive Customer Notification Portal using .NET Core, SQL Server, and AngularJS, reducing manual outreach by 40% and increasing client satisfaction scores by 25%.. Data Synchronization: Implemented automated data sync jobs using Quartz Scheduler to transfer critical case data from Delaware state databases while maintaining full regulatory compliance.

Developed a state Child Support Solutions application using Java and AngularJS, enabling case workers to prioritize high-priority cases efficiently.. Created an automated document processing web application using the Apache OpenOffice UNO API, automating mail-merge tasks and eliminating manual document preparation workflows.

Contributed to Google Maps geospatial data processing projects, enhancing mapping precision for road networks, bike lanes, street names, and speed limits across global map datasets.