I am a dedicated and highly motivated AI and ML practitioner with a passion for developing innovative solutions that drive business growth and operational efficiency. With a strong academic background in Computer Science and Engineering, specializing in Artificial Intelligence and Machine Learning, I've honed a unique blend of technical and analytical skills.Throughout my academic and professional journey, I've worked on a variety of projects in machine learning, deep learning, and computer vision, which have sharpened my technical acumen. As a GDC AI Workforce Program Fellow, I've gained proficiency in JavaScript, Node.js, React, and TypeScript, skills I’m eager to apply in real-world scenarios.During my internships, I successfully developed and deployed models that deliver business value, including a fraud detection system at Infosys Springboard that achieved 99.57% accuracy with XGBClassifier. My technical toolkit includes Python, C, TensorFlow, Keras, PyTorch, scikit-learn, and OpenCV, complemented by strong problem-solving, leadership, and self-discipline.I’m committed to staying at the forefront of AI and ML advancements and am excited to connect with like-minded professionals. I’m currently seeking opportunities to lead and contribute to AI and ML projects that drive innovation and ethical impact.