Read the business
Where AI genuinely serves the operation, and where it would only add noise. Written down before anything is built.
Observations● AI consulting & implementation · Dubai
Commerce Builds for UAE Brands
Most AI work starts with the model. I start with how your business actually runs, advise on where AI and architecture genuinely serve it, then implement the systems myself: built to hold up under real load, real data and real regulators.
- AI Consulting
- Implementation
- Technical Advisory
16 years · a limited number of assessments each month
i.Thesis
Great AI begins with a clear read of the business.
I start by finding where AI genuinely serves your operation: the places it compounds, the work it lifts, the decisions it sharpens. Then I build exactly that. The clarity is the work; the build follows from it.
ii.Method
How every engagement runs.
Architect
A design that fits the systems you already run, with security, data handling and cost decided up front.
StructureBuild in production
Working software against real data early, not a demo that has to be rebuilt later.
FormProve it
Measured against written success criteria agreed at the start, with evaluations you can rerun.
MeasureHand over
You own the code and IP. Documentation and a runbook mean your team can run it without me.
Yoursiii.Selected commissions
Work that endures.
Engaged by EY on an internal AI workflow platform for software delivery, which EY is productising into its client offering. The work started as advice: as design authority I ran discovery with business and security stakeholders, produced the architecture views, threat model and non-functional requirements, chaired design reviews against cybersecurity and cloud guardrails, and led the build-versus-buy assessment for the LLM layer, recommending a provider-agnostic orchestration framework over a single-vendor SDK after a proof of concept. I then architected the platform and led its engineering team: agentic workflows that automate threat modelling, compliance, retrieval-grounded documentation, planning, code generation, security scanning and reviews; a trust-tier model that holds high-risk agent actions for verified human sign-off; an audit trail recording every agent action, tool call and prompt; and tenant isolation built into the data layer.
Engaged through EY. The client was carrying heavy quality-assurance overhead and an enterprise design system stretched across many frameworks. I targeted the QA load with AI agents, a SonarQube remediation agent and an automated code review agent, and drove adoption across client teams by exposing the framework through a Model Context Protocol (MCP) server. I architected an end-to-end and integration testing framework whose specs are generated automatically through that MCP server. As design authority for the enterprise design system, I set the reference architecture and release standards for its consuming applications, led its migration to StencilJS with native Angular and React wrappers, built the Azure DevOps pipelines behind it, and led a distributed team across several countries.
For Fidelity Investments' Ireland-based operation, I led the design and development of key components of a new application that lets portfolio managers visualise high-volume market data at speed, built in Angular and D3.js. I architected a shared Nx component library that cut development redundancy by about 20%, set up Cypress end-to-end testing with 80% unit test coverage, and mentored developers through regular code reviews.
A six-week buy-side technology due diligence for Roland Berger on a single acquisition target, which stays confidential. I led the architecture, code and SDLC, and AI workstreams: I challenged the seller's answers to the information requests, turned a set of apparent control gaps into one costed decision the deal team could carry into the valuation model, and tested the target's AI claims against evidence before valuation.
I am the fractional CTO for Interview Strategist, a platform that turns a professional's experience into stakeholder-aware CVs, LinkedIn positioning and interview preparation, all drawn from one structured evidence library instead of being improvised for each application. I wrote the full design suite before the build (requirements, architecture, threat model, NFRs and 35+ architecture decision records) and build the platform to it, including its AI agent pipelines, with personal data stripped before every model call. The product is pre-launch.
The department ran many applications without a shared design language, and wanted to know where generative AI could help its staff. I took over the architecture of its bespoke design system, acted as the client's technical point of contact for the 12 applications adopting it, and advised design and business stakeholders on high-stakes UX decisions. In a later engagement I set the frontend architecture and design system strategy for the department's Angular multi-application estate, led a team of 6 engineers with 90% unit test coverage, and shaped a GenAI use case: a retrieval-augmented (RAG) proof of concept giving staff grounded answers from the department's Confluence knowledge.
A direct-to-consumer beauty brand needed to sell in the UAE without handing checkout to a third-party domain or treating customer data as an afterthought. I advised on the commerce architecture and the data obligations first, then built a headless storefront on Next.js and Medusa with checkout kept on the brand domain, verified payment webhooks, authenticated admin and operations endpoints, and data handling designed around the UAE data-protection law (PDPL), including consent, retention, and erasure.
I worked in a dual role as Scrum Master and Senior Angular Developer for one of Ireland's largest retail banks, running agile delivery across complex banking applications while staying hands-on in the code.
iv.Services
Craft over commodity.
From AI strategy to production. First, where AI genuinely serves the operation; then agents, retrieval over your own knowledge, and automation wired into the systems you already run. Built with evaluation, cost control, and audit trails from day one, for teams in Dubai, Abu Dhabi, and beyond.
- AI strategy and use-case selection
- AI agents and multi-agent workflows
- Retrieval over company knowledge (RAG)
- Model Context Protocol (MCP) integrations
- Enterprise AI workflow platforms and automation inside existing systems
- Evaluation, LLM cost and context control
Architecture consulting that carries through to the build. A senior read of what you run today, a target architecture the team can follow, and software designed to outlast its first brief, with design systems treated as part of the architecture.
- Enterprise architecture consulting and reviews
- Platform and solution architecture
- Integration and API architecture
- Design system architecture and governance
- Accessibility-first component libraries
- Legacy platform modernisation
For web and mobile products, from the first strategic question to release. I start with advice: what the product must achieve, the technology strategy, and the platform choice between native, hybrid and web. Then I design the UX and UI, lead the build, test and release it, and hand it over with the documentation and pipelines your team needs to own it.
- Product and technology strategy
- Architecture and platform choice: native, hybrid or web
- UX and UI design
- Web and mobile application build
- Testing, release and CI/CD
- Handover, documentation and team enablement
For leaders who need a senior read before they commit, and someone accountable after. Where AI genuinely serves the operation, what to build or buy, whether the architecture will carry it, and a fractional CTO when the team needs one.
- AI readiness assessments
- Build-vs-buy and technology decisions, including the LLM layer
- Architecture and code reviews
- Technical due diligence
- Fractional CTO for early-stage founders
- Direction for in-house engineering teams
Headless commerce for brands selling in the Emirates, from platform advice to launch. On-domain checkout, regional payments, and UAE data-protection (PDPL) compliance treated as requirements, not afterthoughts.
- Commerce platform advice and architecture
- Headless storefronts (Next.js, Medusa)
- On-domain checkout and regional payments
- UAE PDPL-aware data handling
- Performance and conversion-ready landing pages
- Catalogue, order, and fulfilment integrations
v.The architect
Abhijit Chatterjee Chattopadhyay
Sixteen years of building enterprise platforms across Ireland and Europe, distilled into a practice where engineering rigour is the starting point for every commission.
Principal · Dubai
Who builds thisBefore the commission
Begin with clarity.
Thirty minutes, free. I review your stack, you bring the challenge. No proposal, no obligation. Pick one of the four below and we go deep on it.
What I cover
- AI product readiness: where your stack supports or blocks integration
- Frontend and platform architecture: performance, scalability, and team velocity
- Design system maturity: gap analysis and build-vs-buy framing
- Technology strategy: decisions, pivots, and the cost of current choices
What you walk away with
- A short written summary of what I would do first
- A clear suggested next step, whether that involves me or not
~/thelogicatelier · practice.md
Commerce Builds for UAE Brands
Most AI work starts with the model. I start with how your business actually runs, advise on where AI and architecture genuinely serve it, then implement the systems myself: built to hold up under real load, real data and real regulators.
x -- · y -- · value -.---point or tap to read
- practice
- consulting · build · advisory
- experience
- 16 years
- region
- DXB · UTC+4 · worldwide
- availability
- a limited number each month
// thesis
Great AI begins with a clear read of the business.
I start by finding where AI genuinely serves your operation. Then I build exactly that. The clarity is the work; the build follows from it.
1−start with the model, then look for a use
1+start with how the business actually runs
2 find where AI genuinely serves it:
3+ the places it compounds
4+ the work it lifts, the decisions it sharpens
5 then build exactly that
01 · method
How every engagement runs.
- stage 01passed
Read the business
Where AI genuinely serves the operation, and where it would only add noise. Written down before anything is built.
- assessment.md
- stage 02passed
Architect
A design that fits the systems you already run, with security, data handling and cost decided up front.
- architecture.md
- security.md
- cost-model.md
- stage 03passed
Build in production
Working software against real data early, not a demo that has to be rebuilt later.
- working software
- real data
- stage 04passed
Prove it
Measured against written success criteria agreed at the start, with evaluations you can rerun.
- success-criteria.md
- evals/
- stage 05passed
Hand over
You own the code and IP. Documentation and a runbook mean your team can run it without me.
- source + IP
- docs/
- runbook.md
› 5 of 5 stages passed. Handed over: code, IP, runbook.
02 · selected commissions
Work that endures.
| Expand | |||||
|---|---|---|---|---|---|
| EYInternal AI workflow platform | An internal AI workflow platform for EY, being productised for its clients. | ai | |||
| Walgreens Boots Alliancedelivered via EY | AI agents, test automation and design-system authority for Walgreens Boots Alliance. | ai | 2025 | ||
| Fidelity InvestmentsIreland | High-volume market data, visualised for portfolio managers at Fidelity Investments. | architecture | 2023 | ||
| Roland BergerGlobal strategy consultancy | Technical due diligence for Roland Berger. | advisory | 2026 | ||
| Interview StrategistPre-launch, in progress | Fractional CTO for a career decision-intelligence platform. | advisory | 2026 | ||
| National government departmentEU member state | Design system, frontend architecture and a GenAI proof of concept for a government department. | architecture | 2021–2025 | ||
| Mysha BeautyUAE direct-to-consumer beauty & sun care | A secure, on-domain commerce platform for a UAE beauty brand. | commerce | 2026 | ||
| National retail bankIreland | Agile delivery and Angular engineering for a national retail bank. | delivery | 2020 |
03 · services
Craft over commodity.
name: Commerce Builds for UAE Brands
summary: >
Headless commerce for brands selling in the Emirates, from platform advice to launch. On-domain checkout, regional payments, and UAE data-protection (PDPL) compliance treated as requirements, not afterthoughts.
includes:
- Commerce platform advice and architecture
- Headless storefronts (Next.js, Medusa)
- On-domain checkout and regional payments
- UAE PDPL-aware data handling
- Performance and conversion-ready landing pages
- Catalogue, order, and fulfilment integrations
04 · about
whoami
- name
- Abhijit Chatterjee Chattopadhyay
- role
- Principal Solution Architect & AI Consultant
- based
- Dubai, UAE
- experience
- 16 years · enterprise platforms across Ireland and Europe
- focus
- AI systems · frontend architecture · technical advisory
- stack
- Angular · TypeScript · Node.js · Python
Engineering rigour is the starting point for every commission. Who builds this ↗
05 · before the commission
Begin with clarity.
POST /consultation { "duration": "30 minutes", "price": "free", "you_bring": "the challenge", "i_review": "your stack", "proposal": false, "obligation": false }
covers
- AI product readiness: where your stack supports or blocks integration
- Frontend and platform architecture: performance, scalability, and team velocity
- Design system maturity: gap analysis and build-vs-buy framing
- Technology strategy: decisions, pivots, and the cost of current choices
// what you walk away with- A short written summary of what I would do first
- A clear suggested next step, whether that involves me or not
Book the free assessment
The assessment is free. Anything that follows is quoted in writing before it starts.
vi.Contact
06 · contact
Talk to me.
Talk to me.
Production AI and software architecture. Based in Dubai, working worldwide.