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Vinith Nagelly
Mid-level Full-Stack Developer specializing in Python/Django and React
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Backend engineer at Hexanika who owned a real-time fraud-detection platform: built Django microservices, integrated a GenAI anomaly-scoring model, and optimized data/infra for low-latency production (including ~40% query-latency reduction). Experienced running containerized services on AWS/GCP with Kubernetes/GKE, GitHub Actions-based CI/CD + GitOps, and building Pub/Sub streaming pipelines and on-prem-to-cloud migrations.
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Key Strengths
- Owned end-to-end backend for fraud-detection service (Django + secure REST APIs)
- Integrated GenAI scoring model into real-time production system; reduced latency via caching, async preprocessing, batching, and serialization optimization
- Reduced query latency ~40% through PostgreSQL/DynamoDB schema redesign
- Deployed and operated microservices on AWS/GCP with Docker + Kubernetes (GKE), including autoscaling and zero-downtime rollouts
- Built CI/CD and GitOps workflows with GitHub Actions and versioned Kubernetes manifests
- Strong Kubernetes troubleshooting (resolved CrashLoopBackoff via init containers and probe tuning)
- Designed real-time streaming pipeline with Google Pub/Sub; handled ordering and peak-load latency with idempotency, DLQ, and autoscaling
- Led application-side planning/execution for on-prem to cloud migration with parallel run, monitoring, and feature-flagged cutover
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