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Rohan Varma Bandari
Mid-level Data Scientist & Generative AI Engineer specializing in LLMs and RAG
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Built production LLM + hybrid RAG and multi-agent orchestration systems at Wells Fargo to automate complaint document/audio transcript understanding and categorization, addressing vocabulary drift via embedding + vector index updates instead of frequent retraining. Strong in LLM workflow reliability (testing/benchmarks/observability) and stakeholder-facing delivery with explainability (citations/SHAP-style justifications) and Tableau dashboards.
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Key Strengths
- Built and deployed LLM/RAG system for complaint document and transcript understanding in production (Wells Fargo)
- Designed multi-agent LLM pipelines with orchestration, validation checkpoints, and agent state/memory management
- Handled vocabulary drift without frequent retraining via embedding strategy + regular vector index updates
- Strong document AI pipeline design (layout-aware parsing, metadata tagging, adaptive chunking) for diverse document types
- Established rigorous agent/workflow reliability practices (unit tests, labeled benchmarks, hallucination/latency monitoring with LangSmith/Langfuse)
- Effective collaboration with non-technical stakeholders; delivered explainable outputs with citations and Tableau dashboards
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