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Saideepak Akkinapalli
Mid-level Software Engineer specializing in cloud-native microservices and AI/ML
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Full-stack engineer with healthcare/AI platform experience (Humana), owning an end-to-end high-risk patient prediction feature from React dashboards through FastAPI/TensorFlow real-time inference to AWS EKS operations. Emphasizes production reliability and contract-driven APIs (OpenAPI + generated TS types), plus strong data integration patterns (Kafka, idempotency, DLQs, backfills) in regulated, high-traffic environments.
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Key Strengths
- Owned end-to-end ML-powered production feature (frontend, backend, deployment/ops) in healthcare
- Improved API latency by ~30% via async inference, batching, and caching
- Built and operated AWS EKS/Kubernetes deployments with Terraform + GitHub Actions and zero-downtime releases
- Strong reliability engineering: autoscaling, health checks, circuit breakers, logging/alerting, rollback strategies
- API contract-first development with OpenAPI and generated TypeScript types to prevent frontend/backend mismatches
- Designed maintainable architectures (controller-service-repository; modular reusable React component systems)
- Built resilient data pipelines/integrations with Kafka/queues using idempotency, retries, DLQs, backfills, and reconciliation
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