Swiggy Engineering

Overview

Swiggy runs hyperlocal food and grocery delivery across hundreds of Indian cities, where the central engineering problem is matching a fluctuating fleet of two-wheeler riders to time-sensitive orders against road and traffic conditions specific to each pincode. The blog is strongest in three areas: ETA and travel-distance prediction using deep learning calibrated to two-wheeler routing, geospatial query layers that support thousands of read-and-update operations per second across overlapping serviceability polygons, and learning-to-rank models for dish and restaurant search tuned for Indian food vocabulary. For interviews, 'Predicting Food Delivery Time at Cart' anchors any ETA-design question, and 'Running Geo Queries At Scale' is a strong reference for geospatial system design.

Interview questions

• What topics does Swiggy engineering blog cover?
• Why is Swiggy's blog valuable for interview prep?
• Which Swiggy posts are most useful for delivery-marketplace interviews?

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