PAPPU VENKAT RAO

• Designed and deployed EY's innovative Generative AI (GenAI) framework, securing a U.S. patent, which exemplifies a modular and scalable architecture.
• Developed a multi-tenant platform that integrates advanced technologies such as LangChain, Semantic Kernel, and AutoGen, facilitating dynamic Retrieval-Augmented Generation (RAG) workflows.
• Enhanced data processing capabilities for both structured and unstructured content, delivering real-time AI insights through robust integration with enterprise-grade vector databases and diverse data sources.
• Executed enterprise-level RAG patterns utilizing Azure Cognitive Search, significantly improving information retrieval and user experience.
• Collaborated with cross-functional teams to drive AI innovation and establish best practices in data science and AI solution architecture.

• Directed the transition of legacy AngularJS applications to Angular 6, enhancing modernization efficiency and minimizing development time.
• Designed and implemented a high-performance claims processing application for an insurance client, utilizing CQRS architecture and AWS services to optimize scalability and manage substantial request volumes effectively.
• Initiated and led a pilot project to develop an RPA tool, demonstrating innovation in automating processes and improving operational efficiency.
• Collaborated with cross-functional teams to integrate AI solutions and data science methodologies, driving data-driven decision-making and enhancing overall project outcomes.
• Championed best practices in software development, fostering a culture of continuous improvement and knowledge sharing within the team.

• Spearheaded the design and development of enterprise-level applications leveraging Microsoft .Net Full Stack to enhance operational efficiency.
• Architected and implemented multiple services for a leading insurance client, utilizing WebApi and WCF to successfully transition from COBOL to .Net, ensuring robust core logic.
• Demonstrated strong analytical skills in understanding and rewriting COBOL code, facilitating seamless system migration.
• Developed a Service-Oriented Architecture (SOA) layer using C#, .Net, and WCF to effectively decouple the user interface, improving system scalability and maintainability.
• Led application testing initiatives, identifying and resolving bugs to optimize performance and user experience, contributing to project success.

• As a Senior Software Engineer, leveraged expertise in .NET frameworks (3.5, 4.0, 4.5) to design, develop, and implement robust web applications.
• Collaborated closely with business analysts and end-users to gather requirements and translate them into technical specifications.
• Engaged in comprehensive analysis, design, and development processes, ensuring alignment with user needs and project goals.
• Championed change management and conducted thorough post-production verification to enhance application performance and user satisfaction.
• Transitioning into AI Solutions Architect and Senior Data Scientist roles, focusing on integrating machine learning and data analytics to drive innovative solutions.
• Committed to continuous learning and applying advanced data science techniques to solve complex business challenges.