Featured Project

LoMIS Suite AI / RAG Chatbot

An intelligent document Q&A system using Retrieval-Augmented Generation for land management information systems.

Role

AI Engineer & Backend Architect

The Problem

Land management offices handle thousands of documents and inquiries daily. Staff spend excessive time searching records and answering repetitive questions.

The Solution

Designed and deployed a RAG-based chatbot using LangChain and vector embeddings. Implemented semantic search over 50,000+ documents with sub-second response times.

Outcomes

Reduced document search time by 85%. Handles 500+ queries/day with 92% accuracy. Deployed across 3 regional offices.

Tech Stack

Python

LangChain

OpenAI

Pinecone

FastAPI

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