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Saicharitha Yanamandala
Mid-Level Software Developer specializing in Java, Cloud, and Microservices
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About
Backend/Python engineer who owned an end-to-end FastAPI + AWS internal natural-language document Q&A system (Textract extraction, embeddings/vector DB, LLM integration) with strong focus on reliability and latency. Hands-on with Kubernetes + GitOps (Argo CD, Helm, rolling updates/auto-rollback) and built/optimized Kafka streaming pipelines using Prometheus/Grafana. Also supported a zero-downtime on-prem to cloud migration with parallel run and gradual traffic cutover.
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Key Strengths
- Owned end-to-end backend architecture for a FastAPI + AWS document Q&A/RAG system
- Improved retrieval accuracy and latency via chunking, top-K tuning, prompt iteration, and caching
- Built resilient APIs with graceful degradation/fallback logic for vector store/LLM failures
- Implemented secure auth with AWS Cognito plus logging/monitoring for troubleshooting and performance tuning
- Production Kubernetes deployment experience (Docker, manifests, HPA, ConfigMaps/Secrets, GPU scheduling with node selectors/limits)
- GitOps CI/CD with Argo CD (automated sync, health checks, rolling updates, auto rollback)
- Executed zero-downtime on-prem to cloud migration using parallel run and gradual traffic cutover
- Designed and optimized Kafka streaming pipelines (partitioning, offset tracking, scaling consumers, hot partition troubleshooting with Prometheus/Grafana)
- Built and deployed customer-facing document processing automation that reduced manual processing time
- Strong customer discovery and iterative delivery via frequent demos and feedback
- Structured API integration approach (workflow/data flow analysis, auth, rate limits, sandbox testing)
- Production troubleshooting under pressure (handled breaking external API change and restored service within minutes)
- Improves system resilience post-incident (validation/fallback logic, monitoring/alerting, added test cases and documentation)
- Balances rapid prototyping with maintainable production code through refactoring, tests, and clean architecture
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