Duke Gift is a Nigerian technology builder whose work spans artificial intelligence, hardware engineering, blockchain systems, and software platforms. His journey into technology began long before formal recognition — often late at night as a young enthusiast, experimenting with small hardware projects driven by curiosity and problem-solving.

Over the years, Duke evolved from building mini electronic systems into developing full-scale solutions that combine hardware, software, and intelligence. Among his notable projects is a blockchain-powered electric voting machine designed to improve transparency and integrity in voting processes through secure hardware architecture and distributed verification.

He has also worked on infrastructure-focused systems, including pipeline vandalization tracking solutions that integrate physical trackers, monitoring software, and intelligent alerts to detect interference and reduce losses. These projects reflect a practical approach to technology — building solutions meant to operate in real environments rather than theoretical settings.

Beyond infrastructure and software, Duke is also an audio equipment builder, designing and assembling electronic sound systems and components. This hands-on experience has strengthened his understanding of electronics, signal flow, and system reliability.

Alongside building, Duke has remained committed to sharing knowledge and contributing to the technology ecosystem. He has spoken at technology gatherings in Lagos and other platforms across Africa, contributing to discussions around innovation, applied engineering, and emerging technologies.

He is the founder of Overite, an AI-driven technology media platform focused on innovation, artificial intelligence, and digital transformation. Through the platform, he documents technology developments, explains complex topics in accessible terms, and highlights innovation within Africa and beyond.

Duke Gift’s journey reflects a long-term commitment to building practical systems and advancing technology through consistency, experimentation, and applied knowledge.