I am a highly motivated and curious B.Tech Computer Science student at Bennett University, specializing in Artificial Intelligence and Machine Learning. From the very beginning of my academic journey, I’ve been driven by a fascination with how intelligent systems work and how they can be applied to solve complex, real-world problems. My technical interests lie in generative AI, large language models (LLMs), computer vision, and scalable AI-driven applications. With a strong foundation in Python, machine learning algorithms, and deep learning frameworks like TensorFlow and Keras, I constantly strive to bridge the gap between theoretical understanding and practical implementation.

Throughout my academic journey, I’ve had the opportunity to work on impactful projects such as Fasal, an AI-powered crop management system, and Espada, a browser extension that detects deceptive dark patterns in e-commerce. These experiences have not only sharpened my technical skills in data modeling, NLP, and computer vision but also taught me how to approach problem-solving with creativity and a user-centric mindset. My active involvement as the Computer Vision Team Co-lead in the Artificial Intelligence Society further reflects my passion for collaboration, research, and innovation.

Beyond academics, I value continuous learning and actively pursue certifications from platforms like DeepLearning.AI and IBM to expand my knowledge. I thrive in environments that challenge me to think critically, lead with purpose, and contribute meaningfully. My goal is to specialize in AI/ML roles where I can apply my skills to develop intelligent systems that make technology more ethical, efficient, and accessible to all.