✍️ Personal notes by Rajesh Singh
Thoughts worth keeping!
Practical notes on DevOps, AI & ML, architecture, data systems, and lessons learned from real engineering work.
✨ Latest Post
AI & ML
Your GPU Is Bored: A Practical Utilization Playbook
A measurement-first guide to finding GPU idle time, fixing input stalls, tuning precision and batches, and improving training or inference throughput.
/ 12 min read
AI & ML
Containerizing AI Applications: Architecture and a Hugging Face Example
A practical guide to containerized AI application architecture, with design patterns and a working FastAPI service powered by a Hugging Face model.
AI & ML
The 99.4% Accurate Model That Caught Zero Fraud
A fraud detection story about why accuracy is the most overrated metric in ML, told through one embarrassingly lazy model.
AI & ML
Iris Species Classification: The Machine Learning Workflow
End-to-end Iris species classification using Python and scikit-learn, covering data validation, EDA, model comparison, evaluation, interpretation & prediction.