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Meghana kanakam
Mid-Level Java Developer specializing in FinTech microservices
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Backend/platform engineer with deep payments experience who built and operated a real-time transaction routing service end-to-end on AWS (Spring Boot, PostgreSQL/RDS, Redis, Kubernetes), delivering ~40% latency reduction and 99.99% uptime via strong resiliency and observability practices. Also productionized an internal LLM-powered RAG knowledge assistant with guardrails and a user-feedback-driven evaluation loop, and has led incremental monolith-to-microservices modernization using Strangler Fig and shadow traffic.
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Key Strengths
- Owned end-to-end production payment routing microservice (API, data, infra) on AWS/Kubernetes
- Performance optimization using tracing/metrics; reduced routing latency ~40%
- High-availability, resilient payment systems (retries, idempotency, circuit breakers); achieved 99.99% uptime
- Data-layer optimization (Redis caching, composite indexes, JPA tuning) to remove DB bottlenecks
- Production observability and alerting (CloudWatch, OpenTelemetry, Prometheus) with SLA monitoring
- AI-native RAG knowledge assistant with guardrails and production evaluation/feedback loop
- Incremental legacy modernization from monolith to microservices using Strangler Fig, feature flags, contract testing, and shadow traffic
- Cross-team execution with minimal oversight; shipped reliability/performance improvements within weeks
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