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Dr Sarah Guthals

Dr Sarah Guthals

Founding DevRel Engineer at Tensorlake

Tensorlake

Founding DevRel Engineer at Tensorlake, blending deep technical expertise with a decade of experience leading developer engagement at companies like GitHub, Microsoft, and Sentry. With a PhD in Computer Science and a background in founding developer education startups, I focus on building tools, content, and communities that help engineers work smarter with AI and data.

Published Posts

AI Tagging for Page-Level Metadata with Tensorlake Page Classification

AI Tagging for Page-Level Metadata with Tensorlake Page Classification

Learn how AI Tagging with Tensorlake’s Page Classification turns unstructured documents into page-level metadata for CRMs, vector databases, RAG pipelines, and compliance workflows—enabling precise search, automation, and structured data extraction.

Page Classification: Smarter, Safer Structured Extraction

Page Classification: Smarter, Safer Structured Extraction

Extract the *right* structured data *from the right pages*, with zero extra complexity

Unlocking Smarter RAG with Qdrant + Tensorlake: Structured Filters Meet Semantic Search

Unlocking Smarter RAG with Qdrant + Tensorlake: Structured Filters Meet Semantic Search

A modern RAG stack demands more than vectors. In this post, we show how to combine Qdrant and Tensorlake to build smarter retrieval pipelines with structured filters, figure/table summaries, and markdown chunks enriched with document metadata. Learn how to parse research papers, create embeddings, and answer nuanced queries using real-world document structure, no fragile pipelines required.

LangChain + Tensorlake: Unlocking Document Understanding for Agents

LangChain + Tensorlake: Unlocking Document Understanding for Agents

LangChain and Tensorlake join forces to enhance agent-driven workflows with reliable document parsing and understanding.

Signature Detection in Tensorlake: Catch what’s missing, trigger what’s next

Signature Detection in Tensorlake: Catch what’s missing, trigger what’s next

Signature Detection is now available in Tensorlake. Automatically identify whether a document has been signed—and use that signal to power intelligent automations.

About Me#

I'm a developer advocate, educator, and builder with a passion for helping developers grow their skills and confidence. With a Ph.D. in Computer Science from UC San Diego, I focus on designing tools, content, and experiences that make complex technologies more accessible and impactful, especially in fast-moving areas like AI and developer productivity.

Background#

Before joining Tensorlake as a Founding DevRel Engineer, I led developer relations efforts at Sentry and Microsoft, creating scalable programs that reached millions of developers. At GitHub, I served as an Engineering Manager, where my teams shipped integrations with popular IDEs and editors to improve how developers interact with code. Earlier in my career, I co-founded a startup focused on teaching kids to code, blending software development with in-person learning experiences.

Areas of Expertise#

  • Developer Education & Community Building
  • Technical Content Strategy & Storytelling
  • API & SDK Documentation at Scale
  • Developer Tools, IDEs, and Integrations
  • Computer Science Curriculum & Pedagogy

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