Soham Narvankar.
Simple and Relevant.

Challenge — Duplicate payment webhook notifications from payment gateways could mistakenly trigger duplicate booking confirmations.

Solution — Generated unique idempotency keys per checkout session so payment notifications are processed exactly once, safely ignoring duplicates.

Challenge — Abandoned checkout sessions kept seats locked, preventing other interested travelers from booking limited spots.

Solution — Engineered an automated background cleanup timer that safely releases unpaid seats back into the available pool after a brief grace window.

Challenge — Users' online/offline statuses in chat drifted when mobile devices briefly lost cell connection or switched Wi-Fi.

Solution — Connected presence indicators to lightweight heartbeat pings with Redis auto-expiry, ensuring active indicators stay accurate.

Challenge — YouTube produces immense volumes of repetitive, low-value noise and irrelevant viral shorts that dilute genuine creator opportunities.

Solution — Built a multi-stage filtering pipeline combining semantic embeddings and engagement thresholds to isolate high-potential, niche-relevant topics.

Challenge — Generating comprehensive video ideas, scripts, and SEO outlines takes several seconds, making users feel the app is stuck.

Solution — Implemented Server-Sent Events (SSE) to stream the AI thought process and suggestions word-by-word in real time.

Challenge — Corrupted payment entries, network delays, or duplicate network packets could miscalculate store revenues.

Solution — Added strict watermark windows to process late orders, built automatic deduplication, and routed malformed records to an isolated dead-letter queue for inspection.

Challenge — Sudden traffic surges (tested from 10 to 5,000 events/sec) or pipeline restarts could lead to dropped data or duplicate counting.

Solution — Used checkpointing and Delta Lake's transaction logs to ensure exact once-processing and zero data loss even across system restarts.