RAG Failure Modes & Mitigations
Understanding why RAG systems fail in production and how to design around common pitfalls like context pollution, retrieval quality, and prompt injection vulnerabilities.
12 min read • Jan 15, 2025
Writing
Technical insights on AI systems, ML engineering, infrastructure scaling, and lessons learned from building products.
AI Systems & Evals
RAG, LoRA, production ML
ML Engineering
Pipelines, monitoring, ops
Platform/Infra
K8s, multi-cloud, DevOps
Founder Notes
Strategy, product, growth
Featured Articles
LoRA as Strategy Overlays
When to swap vs stack LoRA adapters for dynamic model behavior switching. Real-world examples from trading strategies and content generation pipelines.
8 min read • Jan 10, 2025
Production Evals Beyond Accuracy
Latency, cost, safety, and drift monitoring for real-world ML systems. Building evaluation frameworks that catch problems before users do.
10 min read • Jan 5, 2025
Blue/Green vs Canary vs Shadow
Pick the right risk envelope for your deployment strategy. When to use each approach and how to implement them with Kubernetes and service mesh.
15 min read • Dec 28, 2024
More Content Coming Soon
Subscribe to get notified when new technical articles are published.
Subscribe to Updates