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Sai Kondapaka
Mid-Level Software Engineer specializing in microservices, data pipelines, and FinTech fraud detection
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Backend engineer with PayPal experience owning a high-throughput, low-latency fraud detection pipeline processing billions of transactions/day, integrating LLM-based models into real-time Kafka streams and payment decisioning APIs. Strong Kubernetes + GitOps practitioner (declarative, auditable deployments; autoscaling/probe tuning) with migration experience modernizing legacy systems onto AKS/OpenShift.
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Key Strengths
- Owned end-to-end Python backend workflow for large-scale fraud data pipeline (ingestion → transformation/scoring → signal delivery)
- Built and scaled real-time ML/LLM inference services with async processing, batching/caching, and safe fallback behavior
- Kafka streaming optimization balancing throughput vs latency via consumer group/config tuning and async concurrency
- Strong Kubernetes production operations: autoscaling, readiness probe tuning, image optimization, and zero-downtime deployments
- GitOps execution with fully declarative, version-controlled deployments and fast rollback via Git revert
- Planned and executed VM-to-Kubernetes and legacy-to-microservices migrations using dependency mapping, observability, and parallel traffic runs
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