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Tejaswi devarapalli
Junior Software Engineer specializing in backend systems and AI infrastructure
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Built both a full-stack AWS file-processing pipeline and a production AI document Q&A system ('smart-doc'). Stands out for combining strong cloud engineering with practical LLM/RAG architecture, including hybrid retrieval, reranking, structured outputs, confidence-based retries, and production monitoring.
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Key Strengths
- End-to-end full-stack ownership of AWS file processing systems
- Strong AWS architecture across S3, Lambda, DynamoDB, EC2, API Gateway, and IAM
- TypeScript used across frontend, backend, and infrastructure
- Built scalable direct-to-S3 upload workflows with asynchronous processing
- Production AI/RAG system development
- Deep retrieval architecture knowledge including FAISS, BM25 fusion, and CrossEncoder reranking
- Grounded LLM design with citations, confidence scoring, and fallback handling
- Structured JSON output design for frontend rendering and logging
- Production monitoring of AI systems using retrieval confidence, reflection rate, and latency
- Pragmatic trade-off judgment between latency and hallucination risk
- Fast execution in ambiguous environments using working prototypes to align stakeholders
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