Hi, I'm Shivani Sri M
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Mapping neural networks, designing intelligent systems, and crafting responsive web interfaces that bring complex AI models to life.
Mapping neural networks, designing intelligent systems, and crafting responsive web interfaces that bring complex AI models to life.
I’ve always been fascinated by how we can take complex, hidden data and turn it into something visible and useful. This curiosity led me to pursue my B.Tech in Artificial Intelligence and Data Science.
Professionally, I think of myself as a builder who loves clean architecture and functional design. While my studies give me a strong theoretical foundation, my real excitement comes from putting those concepts to work in real-world applications. I enjoy the puzzle of software engineering—designing reliable database structures, writing clean backend logic, and crafting frontends that feel natural to interact with.
Beyond the classroom, I am constantly self-teaching. Tech moves incredibly fast, and I stay sharp by exploring new frameworks, solving algorithmic challenges, and researching how to integrate AI into everyday workflows.
Developing deep neural networks and machine learning systems structured on clean, preprocessed, and reliable data profiles.
Creating fast, lightweight, and gorgeous UI layouts so users can interact with complex systems intuitively.
Structuring modular backend logic and utilizing robust developer tools to ensure seamless deployment and testing.
Kongu Engineering College
Developed a high-accuracy skin lesion classifier applying image augmentation, normalization, and advanced CNN architectures (ResNet-50, DenseNet-201) on ISIC and HAM10000 datasets.
View RepoDeveloped machine learning models to forecast agricultural yield using historical soil properties and weather parameters, comparing Random Forest and SVM regressors.
View RepoA full-stack workflow portal for managing patient records and appointments with role-based accessibility, REST APIs, and JWT-secured authorization routes.
View RepoDeveloping strong algorithmic logic and daily problem solving habits.
Testing speed, accuracy, and logic in standard competitive round timings.
I am open to internships, project collaborations, or discussing machine learning research. Feel free to reach out to me directly through any of these platforms.