Services
From machine learning models to production-ready decision systems.
I design AI solutions that can be deployed, explained, and trusted in real business environments.
Production-ready AI & ML systems
I design and deliver machine learning systems that go beyond experimentation — from data pipelines to deployed services, built to operate reliably in production.
- API-first ML services ready for real usage
- CI/CD, health checks, and operational monitoring
- Cloud-ready architectures (Docker, managed platforms)
Business decision layers on top of ML models
Machine learning outputs only create value when they translate into clear, actionable decisions. I design explicit decision layers that turn probabilities into business outcomes.
Key principle: The model predicts risk. The business owns the decision.
- ACCEPT / REVIEW / REJECT decision logic
- Thresholds aligned with business cost and risk
- Reduced manual workload with controlled exposure
Explainable AI for regulated environments
I build interpretable and explainable ML systems designed for accountability, audits, and regulatory scrutiny.
- Interpretable models suited for decision-critical contexts
- Feature importance and explanation artifacts
- Clear separation between model insight and business rules
Good fit / Not a good fit
- You need ML systems that must be deployed, explained, and defended
- You operate in regulated or risk-sensitive environments
- You value clear decision logic over black-box optimization
- You only need experimental notebooks
- Model accuracy is the sole success metric
- There is no plan for production deployment
Let’s talk
Interested in discussing a concrete use case or project?
Get in touch