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AI & Machine Learning Engineer

Sara Lin

Building production AI systems at the intersection of language models, inference optimization, and responsible deployment. Sara focuses on LLM fine-tuning, RAG pipelines, and the practical gap between research and real-world AI.

  • Large Language Models
  • RAG & Vector Search
  • Model Fine-tuning
  • AI Inference & Optimization
  • Responsible AI

Articles by Sara Lin — Page 2 of 4

  1. 2026-06-22

    Why Twio Chose Vertex AI Search: A Strategic Move Explained

    Twio's strategic choice of Vertex AI Search over pgvector reveals a pivotal shift in AI platform preferences. Discover why this decision matters.

  2. 2026-06-08

    Understanding AI Behavior: Development vs Production Explained

    Explore how AI behavior changes from development to production, analyzing key differences and implications for developers.

  3. 2026-06-07

    Enterprise Context: The Real AI Platform Lock-In Explained

    Discover how enterprise context is redefining AI platform dependencies, creating new forms of lock-in that challenge business agility.

  4. 2026-06-04

    Why AI Agents Keep Breaking Your Code: Explained

    Discover the hidden pitfalls of AI coding tools and how they can inadvertently disrupt your software development process.

  5. 2026-05-28

    AI Memory Issues: Solutions and Innovations Ahead

    Discover the truth about AI memory problems and the innovative solutions that promise to revolutionize the field.

  6. 2026-05-24

    AI Autonomy: The Dangerous Product Metric Revealed

    Autonomy in AI products promises innovation but harbors significant risks. Discover why autonomy as a metric could be a perilous path.

  7. 2026-05-23

    Autonomous Agents: Future Potential & Current Limits

    Explore the promising future and inherent limitations of autonomous agents in AI development.

  8. 2026-05-22

    How to Build a Production RAG Pipeline: A Python Guide

    Explore the step-by-step process of constructing a robust Retrieval-Augmented Generation pipeline with Python.

  9. 2026-05-16

    AI-Generated Code: The Hidden Cleanup Costs Explained

    AI-generated code promises speed, but hidden cleanup costs can outweigh the benefits. Discover the real implications.

  10. 2026-05-15

    The Truth About Build vs. Buy for Agentic AI

    Exploring the hidden financial and strategic costs of building versus buying agentic AI solutions in today's tech landscape.