20092026SystemsComposition
promit
Promit Bhattacherjee
Enterprise AI & Cloud Architect
01 / The useful interruptionFederica Campanaro / Unsplash
A surreal line of wooden chairs suspended in the sky
Portfolio/ PromitThe portrait
The portrait

Raised among paintings. Drawn to systems.

I come from a family of painters and designers. My grandfather was an artist and writer; my father painted too. I did not inherit their hand, but I inherited the habit of looking — at colour, balance, negative space and the decisions behind a composition. That is where my sense of design begins.

Today I work as an Enterprise AI & Cloud Architect, designing production systems across Azure and AWS. My focus is generative AI: agentic workflows, RAG, landing zones, governance and the cloud foundations that make them reliable. I am most interested in the point where a difficult system becomes clear enough to explain, operate and trust.

I approach technology as a composition. I look for what belongs, what can be removed, what must remain visible and where a human should stay in control. Architecture and design are not separate disciplines to me; both turn complexity into an intentional experience.

Outside work, I read, learn Italian and cook with the seriousness of a home chef chasing fine-dining standards. Whether I am shaping a platform or a dinner, I care about sequence, balance, precision and the final experience.

Minimal surface. Maximum capability.
01 / Inherited

An artist's eye, without the artist's hand.

02 / Method

Take it apart. Understand the structure. Rebuild it better.

03 / Standard

Restaurant-level precision, whether I am composing a system or dinner at home.

04 / Ground

Hyderabad, India — by preference, not circumstance.

Portfolio/ PromitSelected proof
Selected proof
01ArchitectureEnterprise AI Landing Zone

A secure Azure OpenAI foundation spanning identity, networking, data boundaries and governance.

Authored as a reusable blueprint and now adopted across the firm's customer base.

02ResearchPatent-pending work in RAG

Researching retrieval, grounding and evaluation patterns for dependable enterprise RAG systems.

The work connects experimental architecture with the realities of security and production scale.

03ExperienceSixteen years of systems; eight in Azure architecture

Designed cloud platforms for large, regulated organizations where resilience and governance are not optional.

That foundation now extends across Azure and AWS cloud solutions, automation and production AI.

04CredentialsMicrosoft ×4 and OpenAI certified

Microsoft credentials across cloud architecture, administration, AI engineering and enterprise agents.

Completed by OpenAI Certified AI Professional—and a practice still built around continuous learning.

Portfolio/ PromitSelected work
Selected work
20092026
Portfolio/ PromitDocuments
Recent documents01
The Complete MCP Handbook
Master the Model Context Protocol — from your first call to secure enterprise Azure deployment: architecture, async Python, servers, clients, tools, resources, security.
Jul 19, 2026
02
The Transformer Bible
The complete transformer architecture, Third Epoch Edition — from tokens to Mixture of Experts, every mechanism and formula worked by hand.
Jun 30, 2026
03
The RAG Bible
Retrieval-Augmented Generation, end to end — the five-stage pipeline, chunking, optimization, evaluation, and enterprise hardening.
Jun 30, 2026
Portfolio/ PromitBlog
From the blog01
GPT-6 Did Not Escape CyberGym. The Real Story Is Worse.
OpenAI models broke out of an isolated evaluation, reached Hugging Face production and obtained the answer key. The corrections make the incident more useful—not less alarming.
Jul 22, 2026
02
GPT-5.6 Sol: The Model That Gets Out of the Way
Why GPT-5.6 Sol feels less like a clever chatbot and more like a capable colleague - and why efficiency now begins with removing instructions.
Jul 22, 2026
03
Teams Is the Door, Not the House
How Copilot Studio, Power Automate, Dynamics 365, Dataverse and Teams fit together as one agentic operating surface.
Jul 21, 2026

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