MLOps
Cost Spikes from Quiet Prompt Changes: Monitoring LLM Features in Production
After deploying an LLM feature, monitoring for cost spikes from subtle prompt changes is critical. Learn how to detect and mitigate these risks in production systems.
Blog
Thoughts on AI engineering, backend, frontend, and building modern software.
LLMs
Structured Outputs as an API Contract: Building Predictable AI Systems
Structured outputs ensure reliable AI behavior in production. Learn how schemas, validation, and retries create predictable model behavior without relying on clever prompts.
Software Architecture
Mastering Software Architecture: Real-World Tradeoffs and Design Decisions for AI Systems
Learn real-world software architecture lessons from a senior engineer building AI systems. Explore tradeoffs, failure modes, and design decisions that shape production-ready tech stacks.
MLOps
Practical MLOps Lessons for Real-World AI Systems
Master MLOps challenges with real-world strategies and engineering judgment. Learn from my experiences building production AI systems.
LLMs
Practical Lessons in LLMs: Real-World Tradeoffs and Implementation Pitfalls
Building production systems with large language models requires balancing speed, cost, and reliability. Learn concrete strategies for deployment, optimization, and avoiding common pitfalls.
RAG & Retrieval
Practical Lessons in RAG & Retrieval: Building Reliable AI Systems in Production
Real-world challenges and design decisions in implementing Retrieval-Augmented Generation for production AI systems
Embeddings & Vector Search
Practical Lessons in Embeddings & Vector Search for Production Systems
Building robust AI systems requires more than models—here’s how to design, optimize, and debug embeddings and vector search in real-world scenarios.
Data Engineering
Data Engineering Lessons from Building Production AI Systems
Master real-world data engineering challenges with actionable insights from building scalable AI infrastructure. Learn how to avoid common pitfalls and build robust data pipelines.
AI Engineering
Practical AI Engineering Lessons from Building Production Systems
Learn real-world tradeoffs, failure modes, and design decisions from a senior engineer building AI systems at scale.