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Harsh Ranpura
Mid-Level Software Engineer specializing in FinTech payments and fraud detection
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About
Backend/platform engineer with payments domain experience, having owned core services for MasterCard’s global card tokenization and settlement platform. Built Django/Celery microservices plus Kafka/Redis real-time fraud streaming, delivering 27% latency improvement, sub-100ms fraud checks, and 18% fewer false positives. Strong DevOps/IaC background across Kubernetes, AWS ECS, Terraform, GitHub Actions, and GitOps practices for high-scale transaction systems (including UPI at PhonePe).
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Key Strengths
- Owned backend build for global card tokenization and settlement platform (MasterCard)
- Improved payment latency by 27%
- Achieved stable sub-100ms real-time fraud checks under high Kafka event volume
- Reduced fraud false positives by 18% via Kafka/Redis optimization and caching strategy
- Built Django REST tokenization service and Celery-based reconciliation microservices
- Implemented GraphQL backend for merchant onboarding; reduced manual onboarding time
- Automated CI/CD with Docker, GitHub Actions, Terraform on AWS ECS
- Kubernetes deployment and scaling for PCI-DSS workloads (HPA tuning, secrets, resource limits)
- Applied GitOps with Git as source of truth; PR-driven autoscaling changes for high-throughput UPI services (6M+ transactions)
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