Case Studies
Real results from real businesses.
What this looks like in practice
A few stories from teams that recruited AI and won.
Capacity Planning Model
A team at LinkedIn faced a 9-figure hardware allocation problem in their proprietary data centers, manually forecasting capacity with spreadsheets every quarter.
I built them a model that reasons over their historical data and constraints, so they could ask questions in plain English instead of wrestling with formulas.
13.4% improvement over spreadsheet heuristic in predicting hardware provisioning needs, resulting in substantial cost savings.
Research Acceleration
ML workloads at AMD were hitting a wall: too slow, too expensive, too power-hungry.
I designed a compute strategy that paired the right models with the right hardware, including some analog AI tricks most teams don't know exist.
3 to 5x faster runs. Lower power bills. Same accuracy.
Knowledge Retrieval System
Critical know-how at TechnicallyFit was scattered across wikis, Slack threads, and people's heads.
I deployed a RAG system over their internal docs, so anyone could search and get real answers, not just links.
New hires ramped 40% faster. Less time reinventing the wheel.