Backend Engineer with experience building and deploying scalable AI-powered applications for enterprise pharma clients. Strong in designing high-performance APIs and backend systems using Python, FastAPI, and Django, and integrating LLM/RAG pipelines using LangChain, Pinecone, and PostgreSQL for intelligent search and contextual responses. Comfortable working across the full stack of production systems — from database design and authentication (OAuth 2.0 / Microsoft SSO / Okta) to cloud deployment on AWS (EC2, ALB, ECR, S3, Aurora, CloudWatch). Experienced in improving reliability and observability using tools like Langfuse for LLM tracing and Keploy for automated API testing. Passionate about building real-world backend systems that power GenAI products, with a focus on scalability, security, and clean system design.