I am Ilaye Timibofa Clifford, an AI Engineer based in Bayelsa, Nigeria. I specialize in building conversational AI and agentic systems, with a focus on LLM-powered chatbots and retrieval-augmented generation. I excel at creating end-to-end demos and prototypes, using LangChain, LangGraph, and LangSmith to orchestrate multi-agent workflows. I enjoy turning complex data into contextually rich, accurate responses and delivering real-world AI demos.…

Ilaye Timibofa Clifford

I am Ilaye Timibofa Clifford, an AI Engineer based in Bayelsa, Nigeria. I specialize in building conversational AI and agentic systems, with a focus on LLM-powered chatbots and retrieval-augmented generation. I excel at creating end-to-end demos and prototypes, using LangChain, LangGraph, and LangSmith to orchestrate multi-agent workflows. I enjoy turning complex data into contextually rich, accurate responses and delivering real-world AI demos.…

Available to hire

I am Ilaye Timibofa Clifford, an AI Engineer based in Bayelsa, Nigeria. I specialize in building conversational AI and agentic systems, with a focus on LLM-powered chatbots and retrieval-augmented generation.

I excel at creating end-to-end demos and prototypes, using LangChain, LangGraph, and LangSmith to orchestrate multi-agent workflows. I enjoy turning complex data into contextually rich, accurate responses and delivering real-world AI demos.

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Language

English
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Work Experience

Add your work experience history here.

Education

Bachelor of Engineering at Rivers State University
November 18, 2023 - November 18, 2028

Qualifications

Kaggle Certified Python Developer
January 11, 2030 - November 18, 2025
Ready Tensor Certified RAG Expert
January 11, 2030 - November 18, 2025
Ready Tensor Certified Agentic AI Builder
January 11, 2030 - November 18, 2025

Industry Experience

Software & Internet
    uniE621 🧠 RAG-Powered Personal Assistant Chatbot
    This project showcases a fully functional Retrieval-Augmented Generation (RAG) assistant chatbot designed to deliver fast, accurate, and context-aware responses. Built with ChromaDB, Hugging Face embeddings, and Groq LPU acceleration, the system retrieves relevant knowledge from a structured vector store and generates high-quality answers in real time. The chatbot is deployed on AWS EC2, offering a stable, scalable, and production-ready environment. It also integrates the Gemini File Search Tool, enabling intelligent document retrieval and deeper knowledge access for more advanced queries. The assistant is customized to mimic my communication style—creating a personal, engaging AI experience suitable for productivity, Q&A, documentation support, and automation workflows. 🔗 Live Demo: https://www.twine.net/signin…