Engineering
what’s next.

Built and scaled the order-propagation event pipeline, publishing captain lifecycle events (received, accepted, busy, rejected, timed out) to downstream consumers. These events power captain rating, incentive computation and redispatch-strategy analysis, giving the marketplace team per-order visibility into captain behaviour for the first time.

Re-architected captain location-update ingestion to sustain 200K ops/sec at peak, eliminating the consumer lag that delayed location freshness. Riders now see accurate real-time captain positions, and dispatch picks nearer captains with fewer stale assignments when demand is highest.

Led the sharding of the allocation-system dispatcher database, eliminating write hot-spotting and cutting write-throughput dips by 95% — removing the primary scaling bottleneck in the dispatch path.

Designed a configurable fraud detection and enforcement framework inside Rapido’s core fraud engine, with dynamic captain-number masking and automated deactivation workflows. Captain-reported complaints fell by 80%.

Migrated high-throughput Captain Prioritizer configurations from SQL-backed storage to a centralized configuration platform, enabling real-time self-service changes and reducing engineering dependency.

Owned the end-to-end design and rollout of a booking flow that lets users place multiple orders at once, improving Time-to-Acceptance by 15%. Mentored interns through delivery with technical guidance and code reviews.

Scaled marketplace SEO infrastructure to 41.4M indexed pages and 6,000+ first-page Google keywords, contributing to 20% more marketplace leads.

Built a highly available, low-latency URL shortening platform serving 50K+ short links daily at 400 RPM.

Generated request and response models, enums and Feign clients to reduce service integration effort by 80%.

Shipped multiple payment cycles and business workflows that increased business throughput by 20%.