Cognitive Computing student at Radboud University with a background in physics, focused on building intelligent systems at the intersection of AI, cognition, and data-driven modeling
- Python & FastAPI for data-driven applications
- Backend systems & applied data engineering
- Bayesian inference & probabilistic graphical models
- LLM-based tools for structured thinking and idea generationn
- Athlete assessment dashboard — full-stack internal tool (React + FastAPI)
- Bayesian Network inference (Variable Elimination)
- LLM-powered experimental tool for structured thinking (in progress)
I am particularly interested in developing AI systems for idea generation, reasoning, and human-centered applications.
📫 Contact
LinkedIn: https://www.linkedin.com/in/nuwan-mendis/
Email: nuwanmendismail@gmail.com