Hi there! I'm Swetha, an AI enthusiast and developer with a Master's degree in Artificial Intelligence. My journey in technology has been driven by a passion for creating intelligent solutions that make a meaningful impact.
With a strong foundation in machine learning algorithms, data analysis, and software development, I love tackling complex problems and transforming raw data into valuable insights. My academic background has equipped me with both theoretical knowledge and practical skills in AI implementation.
Master's in Artificial Intelligence(DISTINCTION) - Aston University, Birmingham, UK - Focused on machine learning, deep learning, computer vision, and natural language processing.
Published at: INTERNATIONAL CONFERENCE: RECENT INNOVATIONS IN ENGINEERING SCIENCE AND TECHNOLOGY
Developed an intelligent web-based medical assistant designed to aid in the early detection of serious medical conditions through artificial intelligence methods. The system focuses on automatic diagnosis of eye-related diseases (retinal injury, cataract, and glaucoma) along with brain tumor detection using deep learning models, particularly convolutional neural networks (CNNs).
📄 View PaperAcademic Report: AI: Vision And Reality (CS4710)
Researched and analyzed efficient storage and transmission methods for medical images in modern healthcare using AI technologies. The study explored medical image compression techniques based on various coding schemes like Huffman coding, arithmetic coding, dictionary-based coding, and wavelet transform-based techniques, emphasizing the importance of lossless data compression for remote medical systems.
📄 View ReportNVIDIA • Issued December 2023
📄 View CertificateI've worked on various projects involving predictive analytics, recommendation systems, and automation tools. My experience spans multiple domains, allowing me to adapt AI solutions to diverse challenges.
I specialize in developing AI-powered applications that solve real-world problems. Currently, I'm focused on machine learning model development, data pipeline optimization, and creating intuitive interfaces for complex AI systems.
I believe in creating AI that matters – technology that's not just technically impressive but also ethically responsible and genuinely useful. My goal is to bridge the gap between cutting-edge AI research and practical applications that improve people's lives.
Expertise in supervised and unsupervised learning algorithms, model evaluation, and deployment.
Proficient in Python, TensorFlow, PyTorch, and data manipulation libraries.
Strong skills in data preprocessing, visualization, and extracting meaningful insights.
Experience with neural networks, CNNs, RNNs, and transfer learning techniques.