Two ways to work together
Choose Training or Delivery.
Upskill your team or ship an end-to-end solution. Either way: clear metrics, clean handover, and patterns you can reuse.
Offerings
Simple, production-minded engagements.
Training
Traditional DS, MLOps, and LLMs.
Capability
- Traditional DS & MLEDA, features, modelling, evaluation, storytelling.
- MLOpsPipelines, deployment patterns, monitoring, governance.
- LLMsRAG, evals, prompt systems, fine-tuning strategy.
Delivery
Build and ship analytics / ML / LLM systems.
Delivery
- End-to-end projectsFrom ingestion to deployment & monitoring.
- Embedded contractsShort-term delivery in your stack, with docs.
- Prototypes → productionTurn PoCs into stable services with ownership.
How engagements run
Four steps designed to reduce risk.
1) Scope
Define the problem, constraints, and success metrics.
2) Build
Implement the workflow with fast, testable milestones.
3) Validate
Measure quality with robust evals and guardrails.
4) Handover
Docs, runbooks, and a maintainable delivery.
Ready to discuss?
A short call is usually enough to outline next steps.