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Veera Rishitha Koppaka
Intern AI/Software Engineer specializing in RAG, LLM agents, and cloud-deployed search
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About
Built and deployed a production AI document Q&A (RAG) platform that lets non-technical users query hundreds of PDFs/Word files, cutting search time from hours to seconds. Experienced with scaling retrieval pipelines (chunking, embeddings, vector search, batching/caching) and orchestrating reliable workflows using AWS Step Functions/Airflow with robust retries, monitoring, and fallbacks.
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Key Strengths
- Built and deployed a production document Q&A/RAG system for hundreds of documents
- Performance optimization for large-scale document retrieval (chunking, embeddings, fast similarity search, batching, caching)
- Reliability-focused workflow design with error handling and fallbacks
- Hands-on orchestration experience coordinating AWS services with Step Functions (Lambda, S3, Aurora)
- Structured AI evaluation approach using quantitative metrics (accuracy, latency, success rate) plus qualitative feedback
- Effective collaboration with non-technical stakeholders via prototypes and iterative requirement gathering
- Demonstrated impact: reduced information search time from hours to seconds
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