Gurugram, Haryana, India
Results-oriented AI Engineer with 5+ years of progressive experience, transitioning from a solid foundation in Data Science to specializing in cutting-edge Generative AI technologies, including Retrieval-Augmented Generation (RAG), Agentic AI systems, and LLMOps. I focus on architecting intelligent, end-to-end AI workflows using multi-agent LLM architectures, persistent memory modules, and optimized prompt strategies. My recent work involves building advanced RAG pipelines—ranging from standard to corrective and adaptive frameworks—alongside scalable MCP-powered multi-agent systems for automating complex tasks. With hands-on experience across the full lifecycle of AI applications—from data ingestion and embedding to retrieval, contextual reasoning, and cloud-native deployment—I bring a systems-level approach to AI problem-solving. I actively work with platforms such as OpenAI, LangChain, LangGraph, LangSmith, MLflow, and vector databases to deliver robust, real-world AI solutions. 📌 Open to opportunities in AI product development, intelligent automation, and large-scale agentic platform design. If you’re working on anything that blends reasoning, automation, and agentic AI — let’s talk. I’m always open to ideas, collaboration, and helping shape intelligent workflows that scale.