Pradip Khomane

Led design & development of scalable microservices in the media (AR/3D/Video) processing and GenAI space, ensuring 99.9% system availability. Built a GenAI-powered video processing orchestrator using FastAPI, Celery, and Redis. Scaled the system to over 1K product videos per hour and reduced latency by 50%. Developed a 3D asset workflow management service, reducing e-commerce visualization time by 30% for millions of SKUs. Optimized distributed service throughput by 40% by integrating Kafka-based pub-sub architecture with backpressure-aware consumers. Mentored 5+ junior engineers, led architectural discussions and internal tech talks across Flipkart Labs.

Engineered a high-performance UPI reconciliation system handling 10M+ daily transactions, cutting processing time by 50%. Enhanced microservice scalability and reliability, delivering 2x faster reconciliation throughput while maintaining 99.9% system uptime in a multi-bank ecosystem. Designed a scalable multi-bank settlement engine with real-time matching logic, improving reconciliation accuracy by 35%. Reduced transaction discrepancies by 40% and enabled 2x faster end-of-day settlements with automated reconciliation workflows.

Developed core modules for Order Management System (OMS), improving compliance and manual order handling by 30%. Enhanced multileg order flow processing, reducing latency by 40% across FIX protocol systems. Delivered OATS & regulatory reports with 25% improved accuracy. Implemented real-time order tracking for traders.