Argha Auddy

I am a Computer Science undergraduate at Vellore Institute of Technology, Chennai, with a strong interest in Machine Learning, Deep Learning, and Full-Stack Web Development. I enjoy building practical, end-to-end solutions where data, models, and software systems come together to solve real-world problems. My core strength lies in machine learning and deep learning, particularly in image classification and natural language processing. As a Machine Learning Intern at SmartInternz, I worked on a deep learning–based Tomato Leaf Disease Detection system using TensorFlow and Keras, applying transfer learning with ResNet152V2 and advanced data augmentation techniques to achieve high accuracy. I have also built an NLP-based emotion detection system using LSTM networks, focusing on clean preprocessing pipelines and real-time inference. Alongside ML, I have hands-on experience in backend and web development, where I’ve built secure RESTful APIs using Node.js, Express, MongoDB, and JWT authentication, with proper modular architecture and endpoint validation. I am comfortable working with Java, Python, data structures & algorithms, and modern ML libraries such as TensorFlow, Keras, NumPy, and Pandas. Beyond academics, I actively contribute to collaborative environments and have served as a Management Member of the Linux Club at VIT Chennai, helping organize technical events and foster peer learning. I value discipline, persistence, and consistency, and I believe steady effort matters more than short-term brilliance. I am motivated to grow as a software engineer and machine learning practitioner by working on impactful projects, learning continuously, and applying technology to meaningful problems.