Abhinav Duvvuri

AI Engineer @ SLB | Building Enterprise AI Orchestration | UW Data Science I’m Abhinav Duvvuri, an AI Engineer at SLB (client), where I design and deploy AI orchestration systems at scale — serving over 35,000 enterprise users. My work focuses on building MCP servers and multi-agent orchestration frameworks that make enterprise applications truly AI-ready. I specialize in integrating LangChain, LangGraph, and Semantic Kernel to develop co-pilot-style agents that automate documentation, communication, and knowledge retrieval across the organization. Beyond engineering, I actively research state-of-the-art agentic architectures — comparing frameworks, analyzing performance trade-offs, and designing robust evaluation pipelines for real-world enterprise contexts. Previously, I collaborated with Meta on a capstone project focused on privacy-preserving synthetic data generation for LLM training. I implemented a differential-privacy-based framework that enhanced both model utility and data confidentiality. I hold a Master’s in Data Science from the University of Washington, Seattle, where I developed a strong foundation in machine learning, data engineering, and applied AI research. Colleagues describe me as empathetic, collaborative, and a hands-on problem solver. I’m passionate about bridging cutting-edge AI research with scalable systems — and I’m always open to connecting, learning, and sharing insights with other builders in the AI space. Let’s connect — and build the next generation of intelligent, privacy-aware enterprise systems together.