Grubbly optimizes local delivery routes and connects micro-kitchens around campus. It incorporates smart batching to route multiple deliveries on a single trip, lowering fees for students and boosting kitchen profits.
Ordering from multiple local home-cooks around campus incurs high delivery fees for students due to single-order dispatch cycles.
Grubbly groups orders by geographical blocks and dispatch windows, enabling couriers to deliver up to 5 orders in a single, optimized circular loop.
Groups order dispatches by dorm blocks.
Shows real-time delivery tracking utilizing geolocation.
Allows local home-cooks to update daily menus instantly.
Fast, secure transaction handling.
How order events flow through coordinate lookup, spatial clustering, and the driver routing gateway.
Places orders with geo-coordinates.
Groups orders into geographical clusters.
Calculates optimized circular routes for couriers.
Receives step-by-step navigation cues.
“Handling sudden spikes in driver supply/demand at meal hours led to latency in route calculations. We implemented PostGIS spatial caching to pre-compute delivery zones, dropping map query times to under 50ms.”
Tracks active orders, cook statuses, and revenue statistics.
Interactive map view displaying batch drop points.
I'm currently open to software engineering internships, backend architecture roles, and open-source collaborations.