Saurabh Sinha is an AI Engineer specializing in Generative AI, Large Language Models (LLMs), Computer Vision, and scalable AI system development. With hands-on expertise in building real-world AI applications, he has worked extensively on intelligent automation systems, YOLO-based detection and tracking pipelines, RAG architectures, vector databases, and cloud-deployed AI solutions. His work focuses on transforming complex business challenges into practical AI-driven products through modern machine learning and deep learning technologies. Saurabh has experience designing end-to-end AI ecosystems involving edge AI devices, real-time video analytics, AI assistants, multilingual AI systems, and enterprise automation platforms. He possesses strong technical expertise across Python development, Flask APIs, Dockerized deployments, AWS infrastructure, LangChain, Ollama, Qdrant, SQL systems, and scalable backend integrations. His projects often combine computer vision, NLP, and cloud technologies to create production-ready intelligent systems with high operational efficiency. Passionate about innovation and applied AI, Saurabh continuously explores emerging technologies in Generative AI, retrieval systems, predictive analytics, and autonomous AI workflows. He is particularly interested in building impactful AI solutions that bridge the gap between cutting-edge research and practical enterprise applications.
B.A. Programme (Computer Application and Mathematics) Delhi University