Gunavathi R Bhat

I am an AI Engineer with hands-on experience building and deploying production-grade AI systems, I specialize in creating scalable, agent-driven solutions that turn cutting-edge research into reliable, real-world products. In my recent roles, I have designed and launched multiple AI features now actively serving clients in production. My key strengths include: - Building agentic workflows with frameworks like LangChain, LangGraph, CrewAI, and AutoGen for sophisticated task orchestration, tool integration, and autonomous decision-making - Working with proprietary and open-source LLMs to create flexible, cost-effective systems optimized for performance - Integrating AI agents with enterprise data sources such as BigQuery, Teradata, and Snowflake - Developing robust Retrieval-Augmented Generation (RAG) pipelines for multi-format data at scale, using advanced indexing and vector databases for fast, accurate retrieval - Hands-on experience with end-to-end AWS deployments (SageMaker, EC2, ECS, ECR) using Dockerized workflows—from experimentation to monitored, production-ready systems - Building clean, maintainable backend services with Python and FastAPI, focusing on reliability, observability, and scalable architecture What draws me to AI engineering is the challenge of bridging advanced models with practical product needs. I take a pragmatic approach, prioritizing system behavior in production, scalability, and tangible business value.