Computer Science & Engineering student | Full-stack, AWS, computer vision, parallel computing
[MANIPAL]
Parking spaces. Lab equipment. Pedestrian movement. My projects turn each into a system that can be mapped, tracked, or measured.
Jan–Apr 2025
CloudCapt Technologies
Parking navigation and occupancy monitoring.
Prototype for facilities with multiple entrances: models the facility as a graph, assigns an available slot for a chosen destination, shows the route in a Flutter app, and uses computer vision for bay occupancy.
Inventory, requests, and approvals for MAHE labs.
Web app for MAHE lab staff: inventory, exportable asset lists, loan and transfer requests, approvals via role-based workflows and an audit trail.
Comparing five computing backends.
Collaborative pedestrian simulation comparing sequential CPU, OpenMP, MPI, CUDA, and hybrid backends. I contributed the OpenMP backend, shared metrics, hybrid integration, live comparison interface, benchmarks, and report studies.
Risk labels are model indicators and have not been calibrated to real-world injury outcomes.
Public repositories, updated weekly.
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