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Taruni Reddy Ampojwala
Mid-level GenAI Engineer specializing in LLM agents and RAG systems
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About
Built and deployed a production RAG-based LLM assistant that answers day-to-day operational questions from internal PDFs/SOPs, with strong emphasis on data consistency (metadata versioning, confidence thresholds, conflict handling) and low-latency retrieval at scale. Experienced designing and orchestrating multi-agent LLM workflows (retrieval/validation/generation) and pipeline orchestration for ingestion/embedding/vector-store updates, plus iterative delivery with non-technical operations/business stakeholders.
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Key Strengths
- Built and deployed a production LLM assistant for internal document Q&A (RAG over PDFs/SOPs)
- Strong data quality and consistency controls (cleaning, deduping, metadata versioning, conflict filtering)
- Scales retrieval/indexing with latency-aware optimization
- Designs reliable agentic workflows with scoped agents, deterministic steps, and failure-mode testing
- Pragmatic orchestration decisions across pipeline-level and application-level workflows (retries, observability, modularity)
- Effective collaboration with non-technical stakeholders via iterative prototyping and requirements translation
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