Vaibhav Shrivastava

WORK HISTORY

EDUCATION

ABOUT VAIBHAV SHRIVASTAVA

I am a Computer Science graduate from DAV University with a strong foundation in artificial intelligence, specializing in machine learning, deep learning, and transformer architectures. Over the course of my journey, I have gained hands-on experience with Python, TensorFlow, PyTorch, LangChain, Hugging Face, OpenAI API, and vector databases like FAISS. My work combines both theoretical knowledge and practical implementation, enabling me to build intelligent systems that solve real-world problems. With a strong interest in Generative AI, I have worked on large language models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and AI workflow orchestration to create scalable AI-driven applications.Currently, I am working as an AI Assistant Engineer at Antier Solutions, where I am deepening my expertise in advanced AI systems and applied use cases. I have been actively working with LangChain, LangGraph, and model evaluation techniques using tools such as Ragas, LangSmith, and Promptfoo. Alongside AI-focused work, I have also gained exposure to backend technologies, including Docker and Django, expanding my ability to build full-stack, production-ready applications. This combination of AI research and backend development allows me to contribute to end-to-end solution development, from model design to deployment.My long-term vision is to specialize in autonomous AI agents and scalable AI systems, exploring how they can revolutionize automation and decision-making across industries. By continuously learning, experimenting, and applying cutting-edge AI technologies, I strive to contribute to the development of innovative solutions that bridge the gap between research and industry applications.