Below you’ll find information about my projects and background.
I am a scientist working at the intersection of computational modeling and data-driven analysis. With a deep understanding of complex systems, I specialize in developing and implementing models that aim to reduce uncertainty and optimize decision-making. My work is driven by precise, data-informed approaches which are now essential to addressing critical problems.
On this platform, you will find a collection of my projects focussing on computational physics, quantitative analysis and machine learning. This repository showcases the application of Gen AI, and the projects are aimed at solving problems in scientific research and tackling real-world challenges, from improving system efficiencies to providing deeper insights into data patterns. Feel free to explore my work! I hope these contributions spark ideas and provide valuable insights for those interested in tackling complex problems across different fields.
Here are some of the key projects I’ve worked on:
Description: One of my main projects is focused on protein sequencing using transformer-based deep learning models. T he project explores the application of masked language modeling for improving protein sequence analysis and prediction. By leveraging the power of transformer architecture, the goal is to advance the understanding of protein structures and their functional roles. This project combines knowledge from deep learning and machine learning to solve some of the most challenging problems in biology today.
For more details, check out my project repository or contact me via the links below:
© 2026