Women in AI by FemTechConf

Maya Chen

Women in AI Editorial Fellow

Women in AI Editorial Fellow, AI Engineering

Maya Chen is a Women in AI Editorial Fellow focused on the systems behind modern artificial intelligence. Her coverage explains large language models, retrieval-augmented generation, model evaluation, AI infrastructure and the engineering choices that shape production AI products, with an emphasis on clear, sourced explanations for technical and non-technical readers.

Women in AI Editorial Fellow covering AI engineering, generative AI and applied machine learning

Articles by Maya Chen

• What Is AI Engineering? A Guide to Building Production AI Systems
• AI Agent Evaluation: How to Test Agents Before and After Production
• Women in Machine Learning: What the Latest Statistics Actually Show
• LLM Evaluation Metrics: What to Measure Beyond Accuracy
• RAG Explained: How Retrieval-Augmented Generation Works
• Women in AI Research: Why the Gender Gap Has Proved So Persistent
• Vector Databases Explained: What They Do in Modern AI Systems
• LLM Fine-Tuning vs RAG: When Should You Use Each?
• Forward Deployed Engineer: What the Role Is and Why AI Companies Are Hiring for It
• Context Engineering vs Prompt Engineering: What Is the Difference?
• Why Technical Visibility Matters for Women Building Careers in AI
• AI Observability: What to Monitor in Production LLM and Agent Systems
• AI Research Labs in London: Universities, Frontier Research and the UK's New AI Infrastructure