I have hands-on experience in AI and full-stack development, working on projects like credit card information extraction using AI (Groq API + Streamlit), QR code counterfeit detection with deep learning, and real-time emotion recognition from facial and speech data. Alongside building and deploying models with TensorFlow, Keras, and traditional ML techniques, I’ve also engineered scalable Flutter applications and backend systems during my internships at Woodesy and Kifayti Health, leading backend migrations, real-time notification integration, and secure API development. My focus has consistently been on creating real-world, production-ready solutions that are both intelligent and scalable.