At National Institute of Technology, Uttarakhand, I built spectral and graph-based models for machine condition assessment and fault detection, along with regression models to predict equipment health. I also designed a pipeline for feature extraction, classification, and Remaining Useful Life prediction.
On FundedFirst, I built a four-agent system that evaluates newly funded Indian startups across five sources, with a Flask dashboard and one-click apply flow. It won first prize at the ByteVerse 1.0 National Hackathon; I also contributed to SAR and PolSAR Earth observation research at the University of Petroleum and Energy Studies (UPES).
