Srikar Badugu

About Srikar Badugu

Result-driven AI Engineer with 5+ years of expertise in Conversational AI, Generative AI and Machine Learning, Skilled in developing ITSM chatbots, RAG-based search solutions, and LLM-driven automation, Proficient in creating scalable NLP solutions using Azure AI Search, OpenAI, LangChain, and LangGraph. Known for enhancing user experience, reducing manual effort, and enabling efficient knowledge retrieval through semantic search, agentic AI workflows, and MLOps best practices.

Experience

1. Generative Ai Engineer

   Accufrate, Inc

   Jun 2024 — Present · Los Angeles, CA, US

   Designed a context-aware search solution leveraging Vector Index in Azure AI Search with LangChain & Text Embedding models.Utilized a RAG approach to streamline document retrieval, resulting in a 56% decrease in ticket creation & averting over tickets monthly.Integrated AI technologies into backend coding to enable seamless chatbot functionality for a user base of around Maintained and optimized chatbot databases to ensure scalability and high performance.Headed a PoC for SR approval automation using LangGraph’s agentic framework, deploying memory-enabled agents for task decomposition, dynamic data retrieval, and synthesis. Demonstrated the effectiveness of tool-augmented reasoning, workflow orchestration, and human-in-the-loop approvals in streamlining complex service request processes.Led the development & assessment of POCs for multiple clients using Generative AI to enrich search capabilities & response accuracy with various LLMs (GPT-3.5, 4, 4o, 4o mini) & embedding models (ada-002, text-embedding-small/large).Applied various Prompt Engineering techniques to develop multiple models to solve business problems.Explored techniques to mitigate prompt injection, reduce hallucinations, and improve output quality in LLMs.