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Shraddha sajwan

@shraddhasajwan

Software engineering student building offline AI workbenches and FastAPI services, including an insurance predictor with 100ms response time.

India

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At DRDO-ISSA lab, I migrated legacy JSON data into a PostgreSQL database and developed a pathfinding engine for terrain-following, threat-evasive flight corridors. I also built a geospatial digital twin from elevation and land-cover data.

I built Urjakavach, an air-gapped AI workbench with an asynchronous FastAPI backend, and developed an insurance premium prediction service with a 100ms response time. At IGDTUW, I developed an Android forensics platform and worked on machine-learning models for detecting movement anomalies and phishing.

Experience

Work history, roles, and key accomplishments

ML & Database Intern

DRDO-ISSA Lab

May 2026 - Jul 2026 (2 months)

Migrated 40+ legacy JSON files into a 23-table PostgreSQL database, automating data cleanup and resolving 100% of missing reference errors. Developed a 26-DOF A* pathfinding engine on a 150m-resolution voxel grid and built a geospatial digital twin using Rasterio.

Python PostgreSQL SQLite GIS Rasterio Pyvista PyQt

Python-Based Digital Forensics Intern

IGDTUW

May 2025 - Jul 2025 (2 months)

Developed a modular Android forensics platform with 10 modules, achieving a 60–70% reduction in manual investigation time. Trained Autoencoders and Isolation Forests on multi-source logs, attaining 95.1% accuracy in detecting movement anomalies and spoofing.

Python scikit learn ADB SQLite Pandas OSINT