Pavan Kalyan Reddy Gunamareddy

About

Backend/platform engineer in fintech/payments (NexaBank/NextBank/Nexon Bank) who has built Kafka-orchestrated Java/Spring Boot microservices around a PostgreSQL double-entry ledger. Led production-critical reliability work preventing duplicate payment postings via idempotency and offset sequencing fixes, and shipped real-time ML fraud scoring (Python model API + Redis caching) with rigorous evaluation/monitoring (Prometheus) and workflow automation for dispute resolution.

Experience

Education

Key Strengths

• Built and scaled multi-tenant backend API platform for SaaS analytics (auth/RBAC, event ingestion, dashboards, aggregation/reporting)
• Debugged and mitigated duplicate payment/ledger inconsistency incident in high-volume Kafka-driven payments system using layered defenses (DB idempotency, offset sequencing fixes, concurrency tuning, circuit breakers, monitoring)
• Shipped real-time ML fraud scoring integrated into payment orchestration with sub-500ms decision target (Kafka + Spring Boot + Python model API + Redis feature caching)
• Strong model evaluation and productionization approach for imbalanced fraud data (PR-AUC, cost-based thresholding, dynamic risk bands, feedback loop for retraining)
• Designed reliable multi-step dispute-resolution workflow with planning vs execution separation, idempotent event-driven steps, persisted workflow state, error classification, and ledger verification
• Designed financial-grade relational schema for double-entry ledger with correctness constraints and deduplication keys; improved performance via indexing, partitioning, and pre-aggregations