Anab Khan

• Owned the real-time UPI payment events streaming backbone, using merchant-isolated Kafka routing to scale Flipkart Big Billion Days payments to approximately 1,000 TPS peak and 20 lakh transactions per day.
• Drove a gRPC circuit-breaker and timeout overhaul across the UPI gateway fleet to strengthen payment infrastructure resilience.

• Architected and led a five-engineer team building an AI-driven root-cause analysis platform for GMV, sales, and order anomalies; reduced investigation time from five days to 40 minutes using distributed pipelines, batch/stream processing, and agentic AI.
• Architected Flame, a Kubernetes-native self-service streaming platform, scaling real-time data infrastructure to 27 Gbps peak throughput during Big Billion Days.
• Improved high-concurrency backend services for the AI shopping assistant through multithreading, caching, and parallel I/O, reducing P99 latency by 40%; strengthened resilience with circuit breakers, fallbacks, and bulkheads.
• Built resilient, autoscaling data-ingestion microservices with Kafka and Google Pub/Sub, supporting 1.75 million peak RPS with 99.99999% successful ingestion reliability.

• Architected the Execution Engine backend for a cloud-based integration IDE, building hybrid cloud/on-premises execution and distributed workflow orchestration with multi-tenant support; contributed to 30% growth in enterprise customer adoption.
• Led migration of the Flow Service Editor from a monolith to microservices and automated delivery workflows using Jenkins, Docker, Kubernetes, and ArgoCD.

• Developed Angular and Spring Boot modules for chat and collaboration applications, including P2P audio/video chat and messaging services.
• Implemented Elasticsearch integration, WebSocket communication, collaborative whiteboard functionality, and chatbot features.

Merge multiple google drive and use as a single drive.

UI library to make any UI component collaborative like multiple users editing same excel sheet

Flipkart's AI Shopping Assistant