Backend and Applied AI Engineer
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Backend and Applied AI engineer with experience building systems across event-driven pipelines, multi-agent architectures, and developer tooling. Delivered systems in TypeScript, Python, and Go — including a LangGraph multi-agent targeting system with LangSmith observability, an LLM-powered meeting assistant with RAG retrieval, and an MCP server for LLM-driven binary analysis. Experienced in distributed systems (RabbitMQ), vector databases (Qdrant), and cloud deployment (Docker, AWS).
Bachelor of Technology in Computer Science and Engineering – Dr. B. C. Roy Engineering College