Modern team working together in a bright, accessible office

Our team

People who have built
what they are recommending

Four practitioners across architecture, engineering and delivery. Everyone here has operated inside regulated industries, not only consulted to them.

There is no bench between you and the people on this page. The person who designs your architecture is the person who builds it and the person who hands it over, which is the only arrangement under which delivery judgement actually reaches your project.

The team

Architecture, engineering and delivery

Between them: two decades inside regulated data estates, production lakehouse platforms on all three major clouds, and applied AI work in insurance and healthcare.

Mubarack Ali

Founder & Principal Architect

Over twenty years inside the UK’s most data-complex regulated environments — Lloyd’s of London, specialty insurance, the NHS, regulated financial services and government. Led data and AI programmes across Nationwide Building Society, Talbot Underwriting, Gen Re, STARR and the UK Covid-19 Test & Trace programme. Architecture-first conviction: AI on unprepared data is a liability, not an advantage. MSc, Information Technology.

Architecture-first
Lloyd’s market
Regulated AI

Nagarjun Marri

CTO & Solution Architect

Solution architect and consultant with 16+ years delivering enterprise data platforms, including five years architecting production-grade cloud lakehouse solutions across the major cloud providers. Specialises in scalable, governed data architectures that turn fragmented estates into reliable, business-ready assets — then builds AI products end to end on top of them.

Lakehouse architecture
Cloud platforms
Product engineering

Shreenidhi Kovai Sivabalan

AI Engineer

MSc Data Science with Distinction, City St George’s. Focused on reliable, explainable AI for regulated sectors. Built and evaluated NLP and sentiment-analysis systems for a sensitive, high-stakes dementia-care chatbot, applying responsible-AI principles throughout. Work spans BERT and BiLSTM pipelines, LSTM demand forecasting over multi-million-row datasets, and cloud-scale processing with PySpark.

NLP
Explainable AI
PySpark
Azure

Suna Cemre Demirli

AI Engineer

BSc Computer Science, Nottingham Trent. Machine learning engineer with applied experience in healthcare AI. At Bluesense she designed, trained and validated deep-learning computer-vision models, including YOLO object detection optimised for real-time inference. Works across the full ML lifecycle, from large-scale preprocessing and feature engineering through to model validation.

Computer vision
Deep learning
PyTorch
TensorFlow

How we work

What you get when you engage us

How we work

20+ yrsinside regulated data estatesLloyd’s of London, the NHS, FCA-regulated firms and UK government

4senior practitionersArchitecture, engineering and delivery — no bench, no hand-off

3products live in productionBuilt by the same people who architect the platforms

6 wkskick-off to runningFixed commercial terms on every product deployment

Our values

What the team will not trade away

Read our values

People who have builtwhat they are recommending