Aditya Rawat is a pre-final year Computer Science student specializing in Data Science at Manipal Institute of Technology, India. His academic interests lie at the intersection of machine learning, data-intensive systems, and scientific computing.

He has experience building machine learning models for predictive analytics and working with data pipelines involving preprocessing, feature engineering, and model evaluation using Python and the scientific Python ecosystem. His work focuses on developing practical tools and workflows that enable efficient analysis of complex datasets.

Aditya is actively exploring open-source scientific software and research-oriented development. As part of his preparation for Google Summer of Code 2026, he has started contributing to the Experanto project, a framework for aligning multimodal neuroscience experiment data. His contributions focus on improving developer usability and understanding the architecture behind data interpolation and alignment workflows.

He is particularly interested in developing reproducible, scalable tools that support data-driven research and machine learning applications in scientific domains.