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Sai Vivek Reddy Gankidi
Mid-level Generative AI Engineer specializing in LLMs and RAG systems
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About
Built and shipped a production RAG-based enterprise knowledge assistant to replace slow/inaccurate search across millions of documents, using LangChain orchestration with GPT-4/LLaMA and vector databases. Strong focus on production constraints—latency, hallucination control, and cost—using hybrid retrieval, guardrails, LLM-as-judge validation, and model routing, and has experience translating non-technical stakeholder pain points into measurable outcomes.
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Key Strengths
- Built and deployed production RAG knowledge assistant over millions of documents
- Performance optimization for LLM systems (latency reduction via hybrid search, async retrieval, streaming)
- Hallucination mitigation using strict grounding, prompt guardrails, and LLM-as-judge validation
- Cost optimization through token tracking, model routing, caching, and dynamic context limits
- Reliable agent/workflow engineering with modular stages, guardrails, and safe fallbacks
- Systematic evaluation approach (offline datasets, regression tests, recall/relevance metrics)
- Effective collaboration with non-technical stakeholders via measurable goals and iterative demos
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