Artificial Intelligence student with a focus on Machine Learning and Neural Networks.
Interested in building intelligent systems and applying AI to real-world problems.
- BSc Artificial Intelligence (Minor in Business)
- Focused on Machine Learning, Computer Vision, and Optimization Techniques
- Experience with Neural Networks, Spiking Neural Networks (SNN), and Ant Colony Optimization (ACO)
- Currently seeking internship opportunities in AI / Machine Learning
Programming:
Python, C++, JavaScript, HTML, CSS
Machine Learning & AI:
Regression, classification, neural networks, data preprocessing, feature engineering, computer vision
Tools & Technologies:
PyTorch, TensorFlow, Scikit-learn, NumPy, Pandas, OpenCV, Matplotlib, Jupyter Notebook
Other:
REST APIs, Git, GitHub, React
- Developed a hybrid Spiking Neural Network optimized using Ant Colony Optimization
- Improved recall by ~13.9% and F1-score by ~8.2% compared to baseline
- Focused on balancing accuracy and energy efficiency
- Built a real-time computer vision system using OpenCV
- Implemented Hough Circle Transform with optimized parameters
- Improved detection stability using temporal constraints and smoothing
- Developed a movie web application with authentication and watchlist functionality
- Built using HTML, CSS, JavaScript, and React
- Email: zulfam.albalushi@outlook.com