Production ML Optimization
The optimization theory your ML stack is missing.
Deep technical writing on HPO, model compression, and inference efficiency — across CNNs and Transformers. No tutorials. No hand-holding. Benchmark-backed.
What this is
HPO that actually works
Most teams treat hyperparameter optimization as an afterthought. We treat it as a first-class engineering problem — with statistical rigor and real benchmarks.
Cross-architecture compression
Pruning, quantization, and distillation strategies that transfer from CNNs to Transformers. Theory first, then implementation.
Production patterns
Optimization decisions made in research notebooks rarely survive contact with production. We cover what actually matters when inference cost is real.