Chhabi Lal Tamang

I’m a Machine Learning Engineer experienced in building production-grade AI systems across Computer Vision, Document Intelligence, and LLM-powered applications. I’ve developed LLM pipelines that convert complex PDFs into structured, validated JSON outputs for enterprise use cases, and I’ve integrated and evaluated GPT, Gemini, and Qwen APIs to improve extraction accuracy while optimizing quality, latency, and cost.

I also build reliable retrieval and reasoning systems—implementing schema-guided structured prompting, Retrieval-Augmented Generation (RAG) for regulatory compliance Q&A, and multi-agent AI workflows using LangGraph/LangChain and Pydantic. Earlier, I deployed real-time computer vision systems with YOLO, PaddleOCR, and U-Net for industrial applications, and I’ve contributed hands-on quality inspection automation on dedicated GPU infrastructure in manufacturing plants.