Felix Ibeamaka

I help startups build and scale AI systems that actually work in the real world. From Multi-Agent architectures, RAG pipelines, and Q&A chatbots to computer vision applications and machine learning models. I design intelligent solutions that move ideas from concept to deployment.

I have 2+ years of experience designing and deploying AI systems that bridge cutting-edge research with real-world use cases.

• AI Agents & RAG Systems: I build autonomous AI agents and orchestrate workflows using LangGraph and CrewAI, developing end-to-end Retrieval-Augmented Generation (RAG) pipelines with efficient data ingestion, vector stores, and multi-tool integrations.
• Conversational AI: I design chatbots, Q&A ChatBots, Customer Support Assistants, etc. powered by LLMs (OpenAI, Gemini, Claude, Groke etc) to enhance customer engagement and automate support, and also integrate TTS (text-to-speach) to enhance conversation
• Tools Integrations: I integrate multiple tools to the AI Agent and ChatBots to automate varous processes like WhatsApp Meta API, Google Calender, Gmail, Discord, etc
• Machine Learning & Deep Learning: I work extensively with TensorFlow and scikit-learn, building ML and DL models across text, audio, and image data for predictive and generative applications.
• Computer Vision: I develop image recognition and processing systems using OpenCV, YOLO, and MediaPipe, enabling visual intelligence in AI products.
• Backend & Deployment: I build scalable REST API backends using FastAPI, MongoDB, and SQL, and deploy AI services seamlessly to the cloud for production-ready performance.

I’m driven by a mission to push the boundaries of AI innovation, whether it’s building intelligent agents, advancing multimodal AI, or architecting robust backends that bring AI to life.