Dedicated and adaptable graduate student in Computer Science with a strong foundation in software development and a keen interest in DevOps engineering. Skilled in Python programming, CI/CD pipelines, version control, and automation tools. Proven ability to learn quickly and implement solutions to enhance organizational efficiency. Certified as a DevOps Engineer with practical exposure to DevOps workflows and tools.
Real-Time Automated Vehicle Detection System, Developed a prototype for automated vehicle detection and license plate recognition using deep learning techniques., Python, TensorFlow, OpenCV Music Recognition System Based on Facial Emotion, Analyzed performance of emotion recognition techniques for music selection based on facial gestures., Python, Machine Learning Algorithms