We need to know why it happened.
Root-cause systems that detect what changed, find what caused it, and recommend what to do.
Technical product leadership for data & AI
Data and AI products that work end to end.
Most data and AI projects fail in the gaps between teams. I design the whole system, from the business question to architecture, models and the people who use it, then lead it to delivery.
How I work
Start small. Prove value. Then build.
Each step is fixed in scope and stands on its own. You only move to the next one when the last one has earned it.
- 2–3 weeks
Diagnose
I work with your people and your data to turn a vague question into a clear problem, requirements and a solution architecture.
You get: a sharp problem definition, requirements, a solution architecture, and a plan to build it.
- 4–6 weeks
Prove
I build a working proof of concept on your own data and validate it honestly, so you know whether it works before you invest.
You get: a tested prototype, the evidence behind it, and a clear go or no-go.
- Ongoing
Build
I lead delivery as your fractional technical product lead, with specialists from my network or your own team.
You get: a production solution, and a team that understands why it was built this way.
Problems I solve
The questions behind most data projects
Our AI agents demo well. Can we trust them?
Evaluation pipelines that test agents before launch and keep checking them after.
Our data project is stuck between teams.
One end-to-end design that data science, engineering, analytics and product can all build against.
Which customers need attention?
Churn and recommendation models tied to the actions your teams can actually take.
Where does AI actually help?
A sober look at which of your processes benefit from AI, and which don’t.
Something else?
The best projects often start with a question that doesn’t fit a category.
Tell me about it →About
I’m Arafath Hossain, a technical product leader for data and AI.
I started in product management and market research, then moved into data science: ML modeling, AI tooling and system design, 10+ years in all. At a Fortune 500 company, I’ve designed and led AI systems end to end, from a vague request to architecture, models and delivery.
The whole system, not one piece
I design how data science, engineering, analytics and product fit together, so the solution works in the real process.
From framework to delivery
I design the approach, align engineering, product, data science, business and design behind it, and lead the delivery.
Have a problem worth untangling?
Book a free 30-minute call and tell me what you’re working on.
Book a 30-minute call