Rajabrahmam Telukunta

• Designed and developed a FastAPI-based RAG solution using OpenAI GPT-4 Mini and text-embedding-ada-002 models, enabling seamless integration with any interface to deliver contextual summaries and source links by querying the Azure Index with filtered inputs.
• Engineered Azure Function Apps in Python to extract, clean, and chunk data from diverse REST APIs, storing it in Azure Blob Storage for indexing and retrieval.
• Implemented Azure timer triggers to monitor and update the Azure Index in real time, ensuring data freshness and accuracy across all connected sources.
• Led and mentored the team while independently integrating SharePoint with the RAG system using Microsoft Graph API and Subscriptions API, showcasing end-to-end solution ownership and leadership.

• Refactored and migrated the legacy Amazon Lex (V1) voice bot to Amazon Lex V2, improving conversational flow, multi-language (English & Spanish) maintainability, and alignment with the latest AWS best practices.
• Designed and developed AWS Lambda functions in Python to serve as the backend for the Lex V2 voice bot, handling intent fulfillment, validation, and business logic integration.
• Configured and trained intents, utterances, slots, slot types, and dialog flows in Amazon Lex V2 using the AWS Management Console, ensuring accurate speech recognition and intent resolution.
• Planned and executed extensive testing of voice bot authentication scenarios, including positive, negative, and edge cases, to validate security, reliability, and user experience.
• Provided production support by monitoring bot behavior, troubleshooting runtime issues, analyzing logs, and implementing fixes to ensure high availability and performance.
• Led and mentored an offshore development team, providing technical guidance, conducting code reviews, ensuring adherence to best practices, and coordinating deliverables across time zones.

• Designed and developed Set-Top-Box (STB) test automation scripts using the S3 Automation Framework and Python, enabling reliable and repeatable functional validation across devices.
• Implemented approximately 240 regression automation test scripts covering multiple STB functionalities, including on-screen text validation, image detection using OCR, and voice recognition-based feature testing.
• Architected and executed parallel test automation by deploying scripts across 48 STB devices simultaneously, significantly reducing overall test execution time, and improving test coverage.
• Proactively identified, analyzed, and resolved automation script issues within defined timelines, ensuring stable test runs, and minimal impact on delivery schedules.
• Developed robust image recognition logic to accurately detect UI elements with dynamic and non-static screen positions, improving automation reliability in real-world scenarios.
• Led and mentored an offshore automation team, providing hands-on training on the S3 Framework, enforcing best practices, and supporting team productivity and quality standards.

• Developed and maintained an Application Lifecycle Management (ALM) application using Java and JavaScript, ensuring scalability, performance, and long-term maintainability.
• Implemented and enhanced end-to-end functional workflows within the ALM application using the SBM (Service Business Manager) tool, supporting requirement tracking, change management, and process automation.
• Conducted code reviews to ensure quality and adherence to project guidelines.
• Mentored junior engineers, providing guidance on best practices and coding standards.

R2F (Route-2-Financing) is one of the critical applications for IGF, as it works as a middleware application for connecting different applications. The overall business goal of the IGF e-business area.

Is to enable real-time financing (credit, pricing, and contract) in all Route-2-Financing, with particular focus on process automation and sales productivity. Route-2-Financing will support all countries in which IGF does business, all routes to market, all customer types, all product types, adjacent spaces, and all transaction sizes. Route-2-Financing will form the system backbone of the IGF sales process. It will receive all requests for financing, and serve as a traffic cop, routing them to the appropriate back-office applications, including credit, pricing, and contract.

• Developed enterprise applications using the EAD4J framework.
• Built user interface components using JSP, Dojo, and JSON.
• Implemented action classes within the EAD4J framework.
• Designed and developed model classes using EJB.
• Implemented design patterns, including Command, Delegate, and Session Façade.

• Developed user interface components using JSP.
• Designed and built model classes using EJB.
• Created and maintained data access layers using DAOs.
• Performed database analysis and validation using Oracle TOAD.
• Resolved defects identified during System Testing and UAT.