Mulukalla Ravi Kumar

About Mulukalla Ravi Kumar

7.2 years of experience in designing and delivering intelligent automation and AI-driven solutions across diverse domains. 3 years of hands-on expertise in RPA development using Java and WorkFusion, including end-to-end automation of business processes, bot orchestration, and production deployment. 4.2 years of experience in Python-based AI/ML and GenAI solutions, leveraging cutting-edge frameworks and tools to build scalable, production-grade applications. Proficient in Azure cloud ecosystem, including Azure Functions, Azure OpenAI, Azure ML, and other services for deploying and managing AI workloads. Successfully deployed GenAI solutions to production, integrating LLMs with enterprise data using LangChain, vector databases, and retrieval-augmented generation (RAG) pipelines. Skilled in prompt engineering, model fine-tuning, and building conversational AI applications tailored to business needs. Passionate about innovation and continuous learning, with a focus on applying emerging technologies to solve real-world problems.

Experience

1. Gen Ai Team Lead

   Capgemini

   Jan 2022 — Present · Hyderabad, IN

   Led the design and development of Generative AI solutions using Python and Azure OpenAI, delivering scalable and secure applications for enterprise use cases. Built and deployed LLM-powered applications using frameworks like LangChain, integrating with vector databases and RAG pipelines for enhanced contextual responses. Developed custom prompt engineering strategies and fine-tuned models to optimize performance for domain-specific tasks. Implemented end-to-end GenAI workflows on Azure, leveraging services such as Azure Functions, Azure ML, and Azure Cognitive Search for robust deployment. Delivered production-grade solutions involving document intelligence, conversational AI, and knowledge extraction from unstructured data. Collaborated with cross-functional teams to translate business requirements into AI-driven solutions, ensuring alignment with compliance and scalability standards. Conducted performance tuning, monitoring, and continuous improvement of GenAI models in production environments. Contributed to AI governance and responsible AI practices, ensuring ethical use of generative models in enterprise settings.Transformed non-structured Excel files into structured PDF documents using Python, large language models (LLMs), text translation, embeddings, and LangChain. Leveraged LangChain, Azure Document Intelligence, GPT-4o, Pydantic, and Python to extract structured data from unstructured PDF documents. Implemented robust validation mechanisms to ensure data integrity and readiness for downstream applications, enhancing automation and reliability in document processing workflows.Developed and deployed an intelligent document processing pipeline to extract structured data from complex PDF documents, including automobile insurance, property insurance, and packaged insurance policies. Leveraged LangChain with Retrieval-Augmented Generation (RAG) and vector databases for semantic understanding, Pydantic for data validation.

Education

• International Institute of Information Technology Bangalore

  Diploma of Education, ML and AI with specialization in GenAi

• Nalla Malla Reddy Engineering College

  Bachelor of Technology, Ece

  2014 — 2018