Mohit Waghmode

I'm building Java and Spring Boot backend systems for banking transactions, payment fraud detection, and digital lending. My work combines PostgreSQL, Kafka, Redis, and event-driven architecture to model reliable financial workflows.

For a high-throughput banking transaction engine, I implemented ACID transactions, idempotency, concurrency control, immutable transaction history, Kafka events, and Redis caching. I load-tested the system at 10,000+ transactions per minute while targeting sub-150 ms p95 API latency and 99.9% transaction consistency.

I've also developed fraud and credit-risk platforms using Java, Python, and Scikit-learn, including real-time monitoring at 5,000+ events per second and simulated loan decisioning across 10,000+ applications. I bring hands-on problem solving, collaborative engineering, and hackathon experience, including semantic segmentation model optimization from 0.65 to 0.85 mIoU.