AI & LLM Engineer
January 2024 – Present
Responsibilities
- Developed AI-powered chatbots using OpenAI APIs.
- Built Retrieval-Augmented Generation (RAG) applications for document search and question answering.
- Created AI workflow automation to streamline business operations.
- Integrated AI solutions with CRMs and third-party APIs.
- Designed prompt engineering strategies to improve LLM accuracy.
- Built REST APIs using Python and FastAPI.
- Optimized AI systems for performance, scalability, and security.
AI Customer Support Chatbot
Technologies: OpenAI, Python, FastAPI
Built an AI chatbot capable of answering customer questions, handling FAQs, and reducing support response times.
RAG Document Assistant
Technologies: LangChain, OpenAI, ChromaDB
Developed a Retrieval-Augmented Generation system that allows users to upload PDFs and receive accurate, context-aware answers.
AI Appointment Booking Assistant
Technologies: OpenAI API, Google Calendar
Created an AI assistant that books appointments, sends reminders, and automates scheduling workflows.
AI Sales Assistant
Technologies: GPT-4, Python
Designed an AI assistant that qualifies leads, generates personalized responses, and assists with customer engagement.
Multi-Agent AI Workflow
Technologies: LangGraph, OpenAI
Built a multi-agent system where specialized AI agents collaborate on research, planning, and task execution.
Certificates
- OpenAI API Fundamentals
- LangChain for LLM Application Development
- Python for Everybody
- Google Cloud Generative AI
- Microsoft Azure AI Fundamentals (AI-900)
- AWS Certified Cloud Practitioner
- DeepLearning.AI Prompt Engineering for Developers
Education
Bachelor's Degree in Computer Science
Ibadan University
2018