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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

Precise Data Extraction: Pattern-Based Partitioning for Structured Extraction

Precise Data Extraction: Pattern-Based Partitioning for Structured Extraction

Stop wrestling with brittle document extraction pipelines that break when layouts change. Learn how Tensorlake's pattern-based partitioning to extract data from specific document sections, eliminating positional dependencies and parsing noise for consistent structured outputs.

Verify Structured Output with Field-Level Citations

Verify Structured Output with Field-Level Citations

Tensorlake now supports citations in Structured Extraction. Every extracted field can be traced back to its bounding box and page number—unlocking auditing, compliance, and verification workflows.

Accelerate Advanced RAG with Tensorlake

Accelerate Advanced RAG with Tensorlake

Advanced RAG that survives production: keep context fresh, preserve structure, and plan retrieval using Tensorlake to turn messy PDFs into traceable answers. We demonstrate it by fact-checking Tesla news against SEC filings.

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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