Sana R

I’m an Applied AI Engineer with 2+ years of experience building backend AI systems, LLM-powered workflow platforms, and production-grade APIs. I focus on Retrieval-Augmented Generation (RAG) pipelines, semantic retrieval architectures, and reliable orchestration that turns AI capabilities into dependable products.

In my current role as an AI Engineering Intern at Hirello.AI, I engineered production-grade FastAPI and Node.js backend APIs for AI-powered workflow automation and intelligent application processing. I designed RAG pipelines and embedding architectures with OpenAI APIs and LangChain, and built AI orchestration workflows that connect LLM pipelines, backend services, and API-driven automation.

I also built operational AI foundations—authentication, tracking, and scalable AI-native backend systems—while optimizing API request handling across live environments. By using structured debugging, request validation, API testing, and deployment monitoring, I reduced failed operational requests by 35%.

Earlier, I worked as a Software Engineer at SAK Informatics and Cisco, where I delivered Python and PostgreSQL ETL workflows, REST API integrations, and backend workflow orchestration for operational reporting automation. I optimized query execution and workflow handling for large datasets, improving response efficiency and reducing manual intervention, and I enjoy collaborating cross-functionally to solve operational problems with practical AI adoption.