Hi, I'm Dionysius Davis
I build intelligent software systems where AI, data, and engineering meet.
My work combines machine learning, generative AI, and scalable full-stack development to turn real-world problems into useful products.
Building intelligent software systems through the combination of AI, data, and engineering.
I am a Computer Science undergraduate at Universitas Indonesia with experience in software engineering, machine learning, and generative AI.
My work ranges from developing ERP modules in a professional environment to building retrieval-augmented generation applications, speech recognition systems, and deep learning models for forecasting tasks.
I have also worked as a Teaching Assistant for Software Engineering and Database Systems. I enjoy solving problems at the intersection of AI and software engineering.
Tools across AI, data, and software engineering.
A practical stack for building intelligent systems from model experimentation to production-style full-stack applications.
Applied AI and engineering projects.
A focused set of full-stack, speech AI, forecasting, and machine learning work built around real technical constraints.