I am a Computer Science Senior at Manipal University Jaipur. My technical focus is on bridging the gap between theoretical Deep Learning research and scalable, real-world systems.
Research Intern | ISRO: Regional Remote Sensing Centre (West) My core expertise was honed during my internship at ISRO, where I focused on Geospatial Deep Learning.
- The Mission: I developed a deep learning pipeline to automate the semantic segmentation of sand dunes from high-resolution satellite imagery.
- The Tech: This involved engineering custom data ingestion workflows using GDAL and Rasterio.
- The Research: I conducted rigorous benchmarking of U-Net architectures against Vision Transformers (ViT) to identify the optimal models for geological feature detection, while also prototyping Super-Resolution models to enhance low-quality satellite data.
- 📄 Paper Under Review: The methodology and findings from my ISRO research on Automated Dune Segmentation are currently under review for publication in a scientific journal. (The source code for this project remains proprietary)
- 🏆 National Finalist: Secured Top 8 (out of 6600+ teams) in the Indian Army Terrier Cyberquest ( a national level datathon) for engineering a hybrid Quantum Autoencoder + QSVM Intrusion Detection System.
- 📢 Conference Acceptance: Author of "A Proposed Framework for Post-Quantum Cryptography," accepted at ADCIS 2025.