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Karthik Gantasala
Mid-level Generative AI Engineer specializing in LLM agents and RAG
Chesterfield, MOGenerative AI Engineer4 years experienceMid-LevelReinsuranceInsuranceFinancial Services
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About
GenAI/LLM engineer who built and deployed a production RAG system for enterprise document search and decision support, cutting manual lookup time by 40%+. Experienced with LangChain/LangGraph agent orchestration plus Airflow/Prefect for ingestion and incremental reindexing, with a strong focus on reliability (testing, observability) and stakeholder-driven metrics.
Experience
Generative AI EngineerReinsurance Group of America (RGA)
Machine Learning EngineerBJC HealthCare
Machine Learning EngineerUnited India Insurance Company Ltd.
Data ScientistMedreich Limited
Education
University of Central Missourimaster, Computer Science
Key Strengths
- Built and deployed a production LLM-powered RAG system for enterprise knowledge retrieval/decision support
- Reduced manual document lookup time by 40%+
- Strong hallucination mitigation via strict context grounding, citations, and similarity thresholds
- Performance and scale optimization (chunk sizing, caching frequent queries, parallel retrieval, async APIs, auto-scaling)
- Designed data freshness approach with incremental reindexing pipelines
- Hands-on orchestration across GenAI and data/ML workflows (LangChain, LangGraph, Airflow, Prefect)
- Reliability-focused agent/workflow design with modular components and layered testing (unit tests, mocked LLMs, eval datasets, failure scenarios)
- Stakeholder collaboration using early metric alignment, demos/prototypes, and acceptance testing
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