I specialize in building practical software solutions that connect machine learning, backend engineering, and full-stack product development. My work is focused on turning real business problems into reliable systems that are useful, scalable, and ready for real-world users.
I am a Computer Science graduate from the University of Plymouth, with a strong interest in applied AI, clean architecture, data-driven decision systems, and product-focused engineering
A machine learning powered platform that forecasts gold prices using time series models and supports pawning shop operations with smarter, data-driven decision making.
I'm open to collaborating on AI/ML, full-stack development, open source, and knowledge sharing projects with developers, teams, and builders working on meaningful products.

