I am an AI Engineer and Flutter Developer with a strong background in machine learning, natural language processing, and cross-platform mobile development. I specialize in building AI-powered applications, data-driven systems, and scalable mobile solutions.

I have hands-on experience in developing and deploying machine learning models for classification, sentiment analysis, computer vision, and speech-based systems using Python, TensorFlow, PyTorch, and Scikit-learn. On the mobile side, I design and develop high-performance Flutter applications integrated with Firebase and cloud services.

I have worked on real-world projects including an AI-powered review analysis platform, traffic sign recognition systems, biometric attendance applications, and speech-based age detection systems. I focus on clean code, efficient architectures, and delivering accurate, reliable results that align with client goals.

I am detail-oriented, responsive, and committed to delivering high-quality work on time. I am open to both short-term tasks and long-term collaborations.