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Sai Prasanth Guthula
Mid-level Software Engineer specializing in backend systems for FinTech and SaaS
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Amazon engineer with a blend of backend platform and applied AI experience, spanning Kafka/Spring Boot/Django financial workflows and internal LLM-powered RAG systems for reconciliation investigations. Stands out for owning deployments end-to-end, improving reliability in high-volume transaction processing, and adding practical guardrails like confidence checks and human review to production AI workflows.
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Key Strengths
- owned end-to-end deployment of financial workflow at Amazon
- built reliable Kafka-based async processing systems
- strong production debugging across distributed services and data pipelines
- LLM/RAG workflow implementation for document search and investigation support
- improved reconciliation reliability and reduced downstream processing failures
- optimized retry logic and Kafka consumers to reduce latency under peak load
- designed human-review safeguards for low-confidence AI outputs
- handled messy real-world documents with validation and normalization layers
- cross-functional stakeholder coordination with finance, QA, and dependent teams
- focus on production observability through monitoring, dashboards, and structured logs
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