cost-modeling

Semantic caching demo with real-time streaming and a cost & sizing calculator, powered by Azure Managed Redis and Azure OpenAI.

Concurrency-aware effective-cost meter for self-hosted vLLM inference — companion artifact to arXiv:2606.11690 (Beyond Per-Token Pricing).

Open-source techno-economic model and interactive LCOE calculator for UK Space-Based Solar Power (SBSP), covering launch cost, system mass, efficiency, lifecycle and finance.

Inference serving load harness: phase-separated warmup, harness-bracketed server telemetry, streaming latency, regression gates, and cost models

Driver-based model to estimate infrastructure cost impact of product experiments (Lambda, DynamoDB, CloudWatch)

Estimates a company's ML inference spend from public hiring and engineering signals — cost math in Python, never from the model.

Weighted decision model for freight acceptance built on 18 completed loads from one owner-operator operation.

Reproducible microbenchmark for modeling domain crossing energy in heterogeneous compute systems.

A full-stack GPU profiling and simulation framework that bridges high-level Python ML code with low-level hardware metrics (SM Banks, Tensor Cores) for precise performance analysis.

Distributed engineering cost modeling and team topology pricing platform for CTO decision making.

Quantifies vehicle design complexity cost using ML and portfolio optimization. Gradient Boosting achieves R²=0.93 on MSRP prediction across 11,914 vehicles.