
Embi Dadzie
@embidadzie
I'm a computer science student building full-stack web, mobile, backend, and applied AI products.
What I'm looking for
I'm building end-to-end products across e-commerce, healthcare, IoT, and fintech concepts while studying Computer Science at KNUST. My work spans database design, backend APIs, frontend experiences, and deployment planning.
I built a multi-module POS system with authentication, inventory management, sales processing, reporting, PostgreSQL, Spring Boot, and React. I also delivered a hostel booking and roommate-matching platform for KNUST students within a four-week coursework timeline.
I'm developing an AI sound detection system for noisy harbour environments and designing Muse, a shoppable fashion and culture platform for emerging Ghanaian streetwear. I'm also growing my applied AI/ML experience through an XGBoost-based mobile money fraud-detection research proposal.
Experience
Work history, roles, and key accomplishments
AI Sound Detection System Developer
Client Project
Developed a voice/sound detection system for noisy environments, targeting deployment at harbour facilities. Architected a Flask backend with a React monitoring dashboard and planned edge deployment on Raspberry Pi Zero 2W.
Education
Degrees, certifications, and relevant coursework
Kwame Nkrumah University of Science and Technology
Bachelor of Science, Computer Science
Third-year Computer Science student at KNUST with expected graduation in 2028. Coursework includes Computer Architecture, Human-Computer Interaction, Operations Research, Data Structures & Algorithms, Research Methods, E-Commerce & Information Systems, and Computer Graphics.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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