🗂️ Portofolio

Project Description: Designed and implemented an LLM-based workflow integration system that processes inputs through multiple LLM calls with conditional gating logic. The system ensures dynamic decision-making and optimized output generation. Built using Streamlit, Ollama, LangChain, and Python to create a seamless and automated workflow. Skills…

Project Description: Developed an AI-powered system for bulk PDF extraction using LLMs. The pipeline integrates document embedding, vector storage, and multimodal LLMs to retrieve relevant information efficiently. Built with Streamlit for UI, Ollama for model hosting, and LangChain for seamless retrieval-augmented generation (RAG) capabilities. Skills…

Project Description: Built a multimodal Retrieval-Augmented Generation (RAG) application that enhances information retrieval from documents using an embedding model and vector store. The system processes user queries, retrieves contextually relevant data, and generates responses using a multimodal LLM. Integrated with Streamlit for UI, Gemini for…