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 & ML
    EDA, features, modelling, evaluation, storytelling.
  • MLOps
    Pipelines, deployment patterns, monitoring, governance.
  • LLMs
    RAG, evals, prompt systems, fine-tuning strategy.

Delivery

Build and ship analytics / ML / LLM systems.
Delivery
  • End-to-end projects
    From ingestion to deployment & monitoring.
  • Embedded contracts
    Short-term delivery in your stack, with docs.
  • Prototypes → production
    Turn 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.
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