Highly motivated Computer Science graduate with a passion for applying machine learning to solve real-world problems. I possess strong proficiency in Java and Python programming, enabling me to develop robust software solutions. My expertise extends to machine learning engineering, particularly in computer vision and classification tasks. I’m currently expanding my knowledge in Natural Language Processing (NLP).

My project experience includes:

Traffic Violation Detection System: Built a system using an ESP32 camera and a Convolutional Neural Network (CNN) to classify traffic violations in real-time.
Smart City Surveillance System: Developed an ESP32 camera-based system with CNN for theft classification and notification in smart city environments.
Beyond technical skills, I’m an avid reader with a strong curiosity for data and a passion for using it to create positive impact. This is evident in my contribution to a school project that facilitated the donation of goods and services to those with disabilities.