AI Backend Engineer · Building reliable backend systems and AI-powered applications
I am a Backend Engineer obsessed with building backend systems that don't break in production.
My experience includes building REST APIs and backend systems for enterprise applications featuring role-based authentication, custom applicant data-collection workflows, automated notification systems, OTP authentication, and AI-powered functionality. Recently, I have been pushing AI further into my backend work by building RAG pipelines, working with embeddings, MCP, and exploring what makes AI features reliable and production-ready.
I enjoy understanding why systems work the way they do.
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RAG-powered document Q&A system built around semantic retrieval, embeddings, LLM orchestration, and MCP. Focus: RAG · pgvector · OpenAI · MCP · Redis |
Production backend platform featuring authentication, dashboards, notifications, background jobs, donor/volunteer management, and 120+ REST API endpoints. Focus: TypeScript · PostgreSQL · Drizzle · Redis · BullMQ |

