About Finarb
Finarb Analytics Consulting is a "consult-to-operate" data, analytics and AI company: it helps organisations from the first question through to running the system in production. Its work centres on data and AI consulting, with a strong focus on healthcare and pharma.
How I solve problems at Finarb
Most data and AI problems are not model problems. They are problems of unclear decisions, data nobody trusts and prototypes that never reach production. The way I lead engineering at Finarb is built around that.
- DecisionStart from the business decision the work must improve, and who makes it
- DataMap the data behind it, its quality, its owners and the rules that apply
- ProveShow value on a small, real slice before building anything large
- BuildEngineer for production: pipelines, security, monitoring and cost
- MeasureEvaluate quality continuously, not once at launch
- OperateRun it with the client, then hand over what they want to own
Decisions before models. We agree what decision changes, how we will know it improved, and what would make us stop. That keeps projects small enough to finish.
Data before AI. Clean, well-described data with clear ownership does more for AI quality than any model choice. Where meaning matters across systems, I use shared data models and ontologies so every report and AI answer means the same thing; see ontology and knowledge graphs.
Evaluation before scale. Every AI feature has an evaluation set built from real cases, and runs against it whenever a model, prompt or data source changes; see evaluating AI agents.
Regulated by design. In healthcare and pharma, privacy, consent, audit trails and explainability are part of the architecture from the first sprint, not a review at the end; see healthcare data architecture.
Engineering that lasts. As AVP of Engineering, my focus is the standards that let a team deliver reliably: clear architecture decisions written down, code and design reviews, sensible automation, and engineers who understand the systems they run.
How Finarb can help
Data and AI consulting. Finarb helps organisations decide where data and AI will pay off, build the data foundations, and take analytics and AI from a prototype to a system people rely on.
Healthcare and pharma. For healthcare and pharma teams, Finarb brings data and AI work shaped around the realities of the sector: sensitive data, strict rules and the need for results clinicians and regulators can trust.
Me or Finarb?
| You need | Best fit |
|---|---|
| Senior technology leadership, a second opinion or technical due diligence | Me, as a fractional CTO or advisor |
| A team to build and run a data, analytics or AI system | Finarb |
| Healthcare or pharma data and AI delivery | Finarb, with me involved in the architecture |
| Both direction and delivery | Talk to me first, and we will shape the right mix |
To talk about a Finarb engagement, visit finarb.ai or book a call with me and I will point you to the right people. For my independent work, see how I work. I am based in India, the United States and the UAE, working globally.