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Venu Venkata Surendra reddy Erusu
Mid-Level Software Engineer specializing in AI/ML and Cloud-Native Microservices
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About
Research assistant at Syracuse University who owned a Python/FastAPI analytics backend for user-uploaded large datasets, using S3 streaming uploads and background workers for heavy processing. Has hands-on experience deploying Dockerized Python/Java microservices to AWS EKS with Jenkins-based CI/CD, plus Kafka-based event-driven pipelines and practical migration patterns (dependency mapping, dual-write, reconciliation) to minimize downtime.
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Key Strengths
- Designed and implemented FastAPI backend APIs for large dataset upload, processing status tracking, and results retrieval
- Optimized large-file handling by streaming uploads directly to S3 to avoid memory/performance issues
- Built robust processing pipelines with staged validation, error handling, retry logic, and logging
- Deployed containerized microservices to EKS using Kubernetes primitives (Deployments, rolling updates, HPA)
- Diagnosed production deployment issues (misconfigured env vars) via pod logs/events and executed fast rollback with minimal/no downtime
- Supported phased VM-to-container/Kubernetes migration using dependency mapping and incremental cutover
- Implemented dual-write and reconciliation approach to maintain data consistency during parallel-run migrations
- Integrated Kafka for real-time event processing; addressed ordering and consumer lag via partition/replication tuning and monitoring
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