Technical Advisory & Problem Framing
Solve the right problem before you build the wrong system.
I help you frame the right problem, design the right system, and avoid the expensive mistakes.
Who this is for
- → Founders deciding whether to build or buy ML infrastructure
- → CTOs evaluating data architecture decisions
- → Non-technical business leaders who need to commission ML work
- → Teams stuck on a problem and not sure why the model isn't working
Problems this solves
- • Building ML when the data problem hasn't been solved first
- • Using a complex model when a simple rule would outperform it
- • No clear metrics connecting model performance to business outcomes
- • Burning time and money on the wrong approach before getting feedback
What I do
Problem Decomposition
Translate vague business goals into precise, measurable ML objectives
Architecture Review
Evaluate your data infrastructure for scalability, correctness, and cost
Experimentation Strategy
Design A/B tests, holdout sets, and evaluation frameworks that don't lie
Roadmap Design
Prioritize the sequence of investments that compound fastest
Vendor / Build Analysis
Independent assessment of build-vs-buy decisions for data and ML tooling
Deliverables
- ✓ Written problem framing document
- ✓ Recommended technical architecture
- ✓ Prioritized action plan with effort estimates
- ✓ Decision log for future reference
Example outcomes
Directed full data product strategy at GoGlocal as Manager DS
Architecture decisions for multi-strategy trading systems at Mastertrust
Supply-chain ML roadmap contribution across 7 problem verticals at Blue Yonder
Tools & methods
Related case studies
Lets collaborate!
Whether you need a quantitative researcher, an machine learning systems builder, or a technical advisor — I'm available for select consulting engagements.
Get in Touch →