Ramana Koduri

Building and stabilising Rhapsody Model Manager and IBM ELM for Fortune 500 engineering teams, shipping customer-facing fixes across the full request path and coordinating what goes into each interim-fix release.

• Engineered full-stack enterprise features across RMM and IBM ELM: REST/OSLC service layers, Dojo-based web UI workflows, persistent data models and cross-application integration flows used by Fortune 500 engineering teams.
• Resolved 15+ customer-reported production defects spanning indexing, linking, permissions, configuration contexts and cross-application integration, improving platform reliability and reducing recurring validation issues.
• Coordinated iFix release readiness for IBM ELM interim-fix deliveries, tracking 15+ candidate defects across validation, backport decisions and release scope to ensure on-time delivery to enterprise customers.
• Increased regression coverage by 15–20% for impacted backend-service and integration components using JUnit and Mockito, strengthening defect validation before iFix and final-build gates.
• Accelerated root-cause analysis for complex enterprise issues by correlating server logs, REST/OSLC traces, database records, validation reports and HAR files across frontend, backend, persistence and integration layers.
• Provided code reviews and technical walkthroughs for teammates, and worked with QA, L2 support and release managers to communicate technical risk within sprint timelines.

• Java
• REST / OSLC
• React
• Dojo
• JUnit
• Mockito
• DB2
• Agile

Shipped end-to-end features for a learning platform serving special-needs education, from reusable React components through Django REST APIs to the persistence layer.

• Delivered end-to-end full-stack features across React, Python/Django REST APIs and MongoDB, including a real-time dashboard giving educators live visibility into student learning activity via WebSocket-driven updates.
• Cut dashboard response time by ~35% through Redis caching, query optimisation, lazy loading, code splitting and API response compression, reducing repeated data-fetching overhead across data-heavy workflows.
• Built 10+ reusable React components with Zustand/Redux state management and shipped 5+ Django REST endpoints with request validation, structured error handling and consistent response formatting.
• Containerised application components with Docker and validated frontend/API behaviour with Git, Postman, React DevTools and browser debugging during Agile sprint delivery.

• React
• Django
• MongoDB
• Redis
• WebSockets
• Zustand
• Docker

Built and hardened Java Spring Boot services integrating with OSI PI real-time process data for enterprise operations.

• Developed and maintained Java Spring Boot services and REST APIs integrating with OSI PI (PI System) real-time data feeds, supporting enterprise process-data workflows and system integrations across business operations.
• Improved OSI PI data-integration stability by debugging data-sync issues and delivering targeted fixes, reducing recurring stability incidents by ~25%.
• Resolved 20+ production defects and release issues by analysing logs and validating API behaviour across environments, delivering hotfixes that cut turnaround time on customer-impacting tickets by ~30%.
• Partnered with business analysts and QA to translate requirements into scalable, maintainable backend solutions, following Git-based workflows, code reviews and Agile delivery practices.

• Java
• Spring Boot
• REST APIs
• OSI PI
• SQL
• Agile

Backend APIs and workflow automation for patient care, EMR and clinical data at a leading eye-care institute, built with data privacy as a first constraint.

• Built backend APIs and workflow automation for patient care management, EMR and clinical data workflows at a leading eye-care institute, with strong attention to data privacy and reliability.
• Integrated a payment gateway into patient billing workflows, processing ₹25L+ in secure patient payments during the initial rollout period.
• Developed a digital patient ID system that cut average check-in processing time by ~50%, reducing manual verification steps and improving front-desk throughput across clinics.
• Integrated backend services with EMR application databases and external systems for dependable data retrieval, processing and reporting across clinical operations.

• Backend APIs
• EMR
• SQL
• Payment Gateway
• Workflow Automation