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I am a B.Tech CSE student at Lovely Professional University, currently interning as a Data Science Intern at Infosys Springboard, where I am building DeepVision Crowd Monitor — a real-time crowd density estimation system using CSRNet and MCNN architectures in PyTorch, trained on the ShanghaiTech dataset with OpenCV preprocessing, heatmap overlays, and Flask/Streamlit dashboards.
I build production-grade systems that solve real problems. FraudNet.AI processes financial transactions with sub-200ms inference and 94.2% accuracy. DocPat uses Solidity smart contracts and IPFS for decentralized medical records with end-to-end encryption. Quanta Ballet is a distributed voting system on Hyperledger Fabric with cryptographic attack resistance.
As Founder & COO of ECHO Tech Organization, I have led hackathons with 800+ participants, managed sponsorships and logistics, and mentored students in backend development, machine learning, and deployment pipelines.