Mid-level Full-Stack Developer specializing in Python/Django and React
Little Rock, ARFull Stack Developer4 years experienceMid-LevelWeb DevelopmentTechnologyCloud Computing
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About
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.
B.V. Raju Institute of Technologybachelor, Computer Science
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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