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Tarun Janapati
Mid-Level Full-Stack Engineer specializing in LLM and RAG applications
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LLM/RAG engineer who took a PDF-heavy agent from prototype to production for an Africa-based client, combining Pinecone retrieval with robust PDF parsing (unstructured.io, OCR, structured table extraction). Demonstrates strong production mindset (eval metrics, prompt hardening, security/scalability) and measurable optimization impact (30% efficiency gain, 2x faster responses), and has helped close deals by building security-focused POCs for skeptical IT stakeholders.
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Key Strengths
- Built and productionized a RAG chat/agent system over internal PDFs using Pinecone
- Optimized LLM cost/performance via multi-model routing by complexity/latency/cost
- Improved efficiency by ~30% and doubled response speed through hybrid model approach
- Strong real-time debugging using step-by-step tracing/logs and root-cause analysis
- Resolved critical RAG accuracy issue by implementing structured table extraction for complex PDF tables
- Production readiness focus: measurable retrieval metrics, prompt hardening, automated evaluation, security and scalability
- Effective developer-facing demos (code-first, live walkthroughs) enabling team maintainability
- Partners with sales to unblock deals by addressing IT/security concerns and delivering targeted POCs
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