Rahul User

I’m a Senior Software Engineer with 5+ years building production-grade AI systems, data pipelines, and LLM-powered platforms for enterprise clients including Google APAC and Dollar General.

I own end-to-end ML workflow design—from data ingestion and feature engineering through to model integration, deployment, and observability—so systems run reliably in real environments.

My core focus is Agentic AI orchestration and RAG-based systems: I’ve designed production LLM agent workflows with retrieval, schema-validated structured outputs, and aggregation, backed by full observability via Datadog.

I also build secure, scalable data platforms on AWS, including RESTful ML-serving APIs, JWT-based authentication with RBAC, and performance/cost optimizations like Redis cache-aside for inference responses. I strengthen delivery with CI/CD using GitHub Actions and operational automation via Retool.