AI Engineer & Automation Specialist
I build AI systems that actually ship. From RAG pipelines and multimodal search to LLM agents and n8n automations, I turn models into software people can rely on every day.
About Me
AI Engineer & Automation Specialist
Hi, I'm Uche Maduabuchi Daniel, an AI Engineer & Automation Specialist with a Computer Science degree from the University of Ibadan. I build AI systems that make it to production, from RAG pipelines and multimodal retrieval to LLM-powered agents, along with n8n workflow automation that turns models into software people can actually use.
What I care about most is taking AI from notebook to production. That means evaluation, monitoring, and all the unglamorous glue work that turns a model into a product people can trust. Outside of work I play video games, chase new ideas, and tinker with emerging technologies. There is always something new I want to build.
Featured Blogs
The Reasoning Paradox: When Smarter Models Become Less Reliable
OpenAI's newest model invents fake tools 48 percent of the time. The older, less clever model only does it 16 percent. The training that makes AI smarter is making it less reliable.
Automating Alignment: When Models Audit Their Own Safety
AI agents just beat human safety researchers four-to-one on a closed-form problem in a fifth of the time. The catch is in what kind of problem still needs the human.
Closing the Open-Source Gap
Five major free AI models shipped in April 2026 that are good enough to do real work. The gap between paid AI and free AI just narrowed from a chasm to a step.
Featured Certifications
B.Sc. Computer Science
Bachelor of Science degree in Computer Science from one of Nigeria's premier universities, providing a strong foundation in computing theory and practical software development.
Click to view details
Deep Learning Specialization
Comprehensive specialization covering neural networks, deep learning, and practical applications in computer vision and natural language processing.
Click to view details
Deep Learning A-Z 2025: Neural Networks, AI & ChatGPT Prize
Hands-on 22.5-hour course covering supervised and unsupervised deep learning techniques across vision, sequence, and generative tasks, updated with modern transformer and ChatGPT-era workflows.
Click to view details
Tech Stack
