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    Shreya Shankar

    Shreya Shankar is a rising voice in LLM systems, known for her focus on data-centric AI, evaluation, and production LLM pipelines.

    #23 AI Observability#26 MLOps#32 AI Evaluation
    32CiteRank

    Last updated 11 Nov 2026 · Named in 40 answers across 5 engines
    Bing AI Mode starts a separate baseline. Copilot remains a separate public engine and keeps its history; changes across the switch are not like-for-like growth.

    How AI engines see them

    Recognized by 5 of 5 measured engines. Updated 2026-10-26

    The five engines agree that Shreya Shankar is a researcher whose work links data systems, machine learning and LLMs, and that she created DocETL, an open-source declarative system for processing unstructured data. Gemini adds her evaluation and guardrail work, including SPADE and PromptEvals, and her early work on production ML pipelines. Google AI Mode adds Doc Wrangler and an AI evals course. Perplexity adds a move to Carnegie Mellon in 2027. All engines name her. The most cited pages are the MIT EECS Rising Stars page and her own site sh-reya.com.

    • ChatGPTNamed in 14 answers

      ChatGPT describes a computer scientist working across data systems, ML infrastructure and LLMs, whose most visible contribution is DocETL for pipelines over unstructured text.

      Known for
      • Creating DocETL
      • Unstructured data systems
      • ML pipeline observability research
    • GeminiNamed in 10 answers

      Gemini says she built DocETL with agentic query optimization and worked on SPADE and PromptEvals for aligning LLM evaluation and production ML data quality.

      Known for
      • Creating DocETL
      • Agentic query optimization
      • LLM evaluation and guardrails
    • Google AI ModeNamed in 4 answers

      Google AI Mode says she developed DocETL, which earned Best of SIGMOD 2026, and built Doc Wrangler and co-created AI Evals for Engineers and PMs.

      Known for
      • DocETL framework
      • AI Evals course
      • Data agents research
    • PerplexityNamed in 11 answers

      Perplexity says she is a UC Berkeley researcher on end-to-end data systems for machine learning, known for creating DocETL, and moving to Carnegie Mellon in 2027.

      Known for
      • Creating DocETL
      • Data systems for machine learning
    • Bing AI ModeNot named

      No description yet.

    • CopilotNamed in 1 answers

      Copilot says she created DocETL, an open-source framework that adds LLMs to declarative data pipelines, and blends databases with human-computer interaction.

      Known for
      • Creating DocETL
      • LLM pipelines for unstructured data

    Top Segments

    • #23AI Observabilityof 53
      Named in 13 answers
    • #26MLOpsof 71
      Named in 13 answers
    • #32AI Evaluationof 100
      Named in 13 answers

    Top URLs

    1. 1
      https://parlance-labs.com/team.html
      parlance-labs.com12 citations
    2. 2
      Website
      huyenchip.com7 citations
    3. 3
      https://huyenchip.com/vn/
      huyenchip.com7 citations

    Prompts where Shreya is named

    Run now opens the answer page for that prompt.

    • Who are the most influential voices in RAG & context engineering?

      Named by 3 engines

    • Who should I follow to learn about training data?

      Named by 1 engines

    Track Shreya

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