Reading
Books, research papers, and working notes that shape my thinking on AI engineering, research, and building.
Currently Reading
Designing Machine Learning Systems
by Chip HuyenEssential read on production ML systems design and MLOps.
Building LLM Applications for Production
Practical guide to deploying LLMs at scale with reliability and monitoring.
Papers I Keep Returning To
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Lewis et al., 2020GraphRAG: Unlocking LLM Discovery on Narrative Private Data
Edge et al., 2024Toolformer: Language Models Can Teach Themselves to Use Tools
Schick et al., 2023ReAct: Synergizing Reasoning and Acting in Language Models
Yao et al., 2022Research Notes
Agentic Architectures & Tool Use
Notes on multi-agent coordination patterns, tool definition schemas, and production deployment patterns for agentic systems.
Healthcare AI Evaluation
Working notes on evaluation methodology for clinical AI systems — beyond accuracy to include safety, fairness, and clinician trust.
Knowledge Graph Construction
Collection of papers, experiments, and code for knowledge graph construction from unstructured domain-specific text.