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Vamshi Arempula
Senior AI/ML Engineer specializing in Generative AI, RAG, and agentic systems
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About
GenAI/LLM ML engineer (currently at Webprobo) building an enterprise GenAI platform with document intelligence and automation on AWS and blockchain. Has hands-on experience with RAG, LLM evaluation tooling, and orchestrating production LLM workflows with Apache Airflow, plus deep exposure to reliability challenges in globally distributed/edge deployments. Also partnered with business/marketing stakeholders at a banking client to deliver an AI-driven customer retention insights solution.
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Key Strengths
- Built and deployed enterprise GenAI/document intelligence automation systems using AWS and blockchain
- Designed and improved RAG pipelines; focused on retrieval accuracy and reducing iteration cycles
- Experience operating AI systems in real-time, globally distributed environments (edge + distributed state sync)
- Reliability engineering mindset for distributed systems (degraded-mode design, fail-fast, failure-mode testing, network partition simulations)
- Production workflow orchestration for LLM pipelines (Airflow for ETL, model training, batch inference)
- Structured evaluation approach for AI agents (dataset comparisons, ongoing testing, A/B testing, feedback evaluation)
- Cross-functional delivery with non-technical stakeholders (banking retention/customer research use case)
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