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Hema Edavalapati
Mid-level AI/ML Engineer specializing in cloud data engineering and GenAI
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About
AI/LLM engineer with production experience in legal tech: built a GPT-4 + LangChain RAG summarization system at Govpanel that reduced legal case-file review time by 50%+. Previously at LexisNexis, orchestrated end-to-end Airflow data/AI pipelines processing 5M+ legal documents daily, improving ETL runtime by 35% with robust validation, monitoring, and SLAs.
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Key Strengths
- Built and deployed GPT-4 RAG legal document summarization system cutting review time by 50%+
- Handles large-document LLM workflows via chunking and async serverless orchestration (Azure Functions)
- Prompt engineering for structured, legally-oriented outputs (role instructions, enforced sections, few-shot examples)
- Orchestrated high-volume Airflow pipelines processing 5M+ legal documents/day
- End-to-end ETL design across S3, Spark, dbt/Great Expectations, and Redshift with monitoring/SLAs
- Performance optimization with measurable impact (35% ETL runtime reduction)
- Testing/evaluation discipline for AI workflows (unit/integration tests, A/B evals, prompt quality metrics, monitoring dashboards)
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