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Venkatalakshmi Kottapalli
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and MLOps
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About
LLM engineer/data analyst who built a production RAG QA assistant over the Jurafsky & Martin NLP textbook to reduce hallucinations and provide explainable, source-grounded answers. Experienced with LangChain/LangGraph orchestration, retrieval optimization (embeddings, vector DBs, caching), and rigorous evaluation/monitoring (Retrieval@K, A/B tests, telemetry/drift). Previously communicated analytics insights to non-technical stakeholders at GS Analytics using Power BI and simplified reporting.
Experience
Education
Key Strengths
- Built and deployed a production RAG-based QA assistant grounded in a trusted academic source
- Optimized retrieval quality via chunking strategy and sentence-transformer embeddings
- Improved retrieval latency/scalability using vector DB + caching for frequently accessed data
- Strong evaluation discipline for AI workflows (Retrieval@K, precision/recall/F1, BLEU, human eval, A/B testing, telemetry/drift monitoring)
- Hands-on orchestration of LLM pipelines with LangChain and LangGraph (retriever-LLM flow, prompts, memory, tool chaining)
- Able to translate technical analysis into stakeholder-friendly insights using Power BI dashboards and clear presentations
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