JAIDEEP L N

At zeb AI, I build multi-agent platforms that analyze enterprise file-transfer workflows, diagnose failures, and generate intelligent operational reports. I work directly with client stakeholders and product teams to turn business requirements into scalable AI solutions.

I've architected LangGraph-based agents for workflow analysis, diagnostics, and report generation, supported by RAG, document ingestion, vectorization, semantic search, and MCP servers. I also build FastAPI, FastMCP, Redis, and PostgreSQL services that support reliable agent orchestration.

For a global data integrity and location intelligence client, I designed Kafka- and Temporal-driven LLM data enrichment workflows and used AWS Batch Inference to reduce inference costs by nearly 50%.

I've also built an AWS Bedrock-powered exam paper digitization platform, including handwritten-text extraction, structured data ingestion, a LangChain Text-to-SQL chatbot, React interfaces, and FastAPI APIs. I'm passionate about turning AI into reliable, high-performance production products.