Computer Science Student | Machine Learning & AI Enthusiast | Learning Software Developer
Passionate about building intelligent systems and experimenting with data to solve real-world problems.
I'm a Computer Science student with a strong interest in Machine Learning, Artificial Intelligence, and Software Development. I enjoy working on innovative projects that combine LLMs, Computer Vision, and Bayesian Networks to create scalable and impactful applications.
- Integrating LLMs, Computer Vision, and Bayesian Networks in ML pipelines
- Exploring Deep Learning and Reinforcement Learning
- Building scalable AI applications with Python, PyTorch, and TensorFlow
- Building & learning scalable applications
A visual DFA/NFA simulator that helps users understand automata theory with state transitions and path tracing. Built using Flask + React with Graphviz visualizations.
Predicts weather conditions using Bayesian Networks, allowing for probabilistic inference and decision-making based on multiple variables.
- LinkedIn: LinkedIn
- Github: GitHub
- Email: danielwillson004@gmail.com