Lotachukwu Ogbonna

I’m a Software Engineer specializing in AI systems, backend development, and intelligent automation. I build LLM-powered applications using LangGraph, Retrieval-Augmented Generation (RAG) pipelines, and vector databases.

I’ve worked on autonomous AI agents and data-driven applications, with a strong focus on machine learning and scalable backend systems. I’m passionate about using intelligent systems to solve real-world problems.

In my Machine Learning internships and projects, I built an ensemble machine learning model to predict next-semester student performance and identify at-risk students, combining Linear Regression, Random Forest, and K-Nearest Neighbors to improve prediction accuracy. I also supported ATM software maintenance by troubleshooting and debugging issues to improve system reliability and operational stability.

On my AI Autonomous Travel Agent project, I built a multi-step reasoning assistant with tool execution using LangGraph and Llama 3.3. I implemented Model Context Protocol (MCP) to connect LLM agents with external APIs for automated flight search and document retrieval, and I designed a RAG pipeline over visa policies and travel documents using a vector database, delivered through a Chainlit streaming interface with asynchronous event handling.