Machine Learning
Hi, I’m Chibuzor Authur Okafor, a Machine Learning & AI Engineer from Nigeria with a passion for building intelligent, human-centered systems. My journey began with a degree in Soil Science from Nnamdi Azikiwe University, then shifted through the hospitality industry where I picked up essential soft skills that still guide my approach today. Now, I channel that experience into the world of data and AI solving real-world problems with precision and creativity. I'm certified in Google Data Analytics, Google Advanced Data Analytics, IBM AI Engineering, and Python for Financial Analysis, and I work with tools like SQL, Python, R, FastAPI, Streamlit, OpenAI APIs, and Google Cloud Platform. But what really excites me is crafting smart applications using Retrieval-Augmented Generation (RAG) and building multi-agent systems using LangGraph. Whether it’s chatbots, internal tools, or AI-powered assistants, I love developing agents that can think, collaborate, and act all deployed seamlessly via Vercel, AWS, GCP, GitHub, or wherever you need them. At the core, I’m someone who finds purpose in helping others through code, conversation, and collaboration. Let’s explore the future of AI together!
Skills
Experience
Education
As a Machine Learning Engineer, I specialize in building intelligent systems that leverage data to drive decision-making and automation. My services include data preprocessing, model development, and deployment, focusing on applications in predictive analytics, natural language processing, and computer vision. By combining expertise in machine learning algorithms with efficient code and cloud-based deployment, I help businesses transform complex data into actionable insights, optimize operations, and achieve scalable solutions.
As an AI Engineer, I design and build intelligent systems that go beyond traditional automation. I specialize in developing advanced solutions using Retrieval-Augmented Generation (RAG), combining the power of language models with real-time access to relevant data to deliver smart, context-aware insights. But that’s just the beginning. I also build multi-agent systems of all kinds using tools like LangGraph, enabling collaborative agents that can reflect, reason, and make decisions together. Whether it’s a chatbot, a tool-using assistant, or an end-to-end autonomous agent, I tailor each one to meet real-world needs. I work across a broad tech stack including JavaScript, Next.js, and Python—and I can deploy your AI applications anywhere: Vercel, AWS, GCP, GitHub Pages, or your custom infrastructure. From data prep to model deployment, my work helps businesses unlock the full potential of AI—automating complex tasks and delivering actionable, personalized insights that truly make a difference.
This is an AI-driven system designed to enhance information retrieval in cybersecurity domains by expanding search queries and reranking retrieved results.
An AI-powered email generation platform that creates personalized, professional emails for marketing campaigns, customer outreach, and business communications.
This project is a Q&A system for querying a T-shirt inventory database using Google Generative AI, SQLDatabase, and LangChain libraries.
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