Hire Sudarshan K. - RAG Engineer

I began my journey at SLK as an AI ML intern, working on a forecasting project to predict vegetable price trends. Later, I contributed to another project, where I explored GraphRAG by building a Retrieval-Augmented Generation system using Neo4j, LangChain, and Groq APIs to structure and reason over manufacturing service data. After converting to a full-time role, I worked on data ingestion and management, loading and updating enterprise data using SQLAlchemy (Python ORM) and PostgreSQL. I also handled data cleaning, merging, and API development for reliable database updates. Additionally, I developed an automated pipeline that transformed unstructured WhatsApp chat logs into a structured knowledge base using LLMs for extraction, cleaning, and context organization. Currently, I am part of another project, where I initially explored AWS Kendra for enterprise search and retrieval. I am now focused on designing and building GenAI workflows for guided selling, including RAG architectures, LangChain/LangGraph orchestration, Agentic AI, LLM tool-use workflows, and AWS Bedrock integration.