# Akshay Kr Gupta — Technical Publications & Architecture Portfolio

> Designing enterprise systems for regulated environments - where architecture, AI, and governance intersect.

## Author & Identity
Akshay Kr Gupta (Akshay K Gupta) is a Senior Solutions Architect specializing in enterprise-scale systems, distributed computing, Model Context Protocol (MCP), and AI adoption in regulated industries.

- Role: Senior Solutions Architect
- Canonical Website: https://akshaykgupta.me/ ([Markdown](https://akshaykgupta.me/index.md))
- Architecture Notes: https://akshaykgupta.me/blog/ ([Markdown](https://akshaykgupta.me/blog/index.md))
- Current Focus (/now): https://akshaykgupta.me/now/ ([Markdown](https://akshaykgupta.me/now.md))
- GitHub: https://github.com/AkshayKrGupta
- LinkedIn: https://www.linkedin.com/in/akshay-kr-gupta/
- RSS Feed: https://akshaykgupta.me/rss.xml
- Complete Corpus: https://akshaykgupta.me/llms-full.txt

## Published Architecture Notes
- [Enterprise AI Architecture: The 4 Layers of an AI Harness](https://akshaykgupta.me/blog/harness-architecture-layers/) ([Markdown](https://akshaykgupta.me/blog/harness-architecture-layers.md)): Discover the four critical architectural layers of an enterprise AI harness. Learn how integration gateways, state management, execution sandboxes, and audit spines turn raw AI models into secure, reliable digital workers.
- [Distributed Tracing: Why TraceID is an Architectural Mandate](https://akshaykgupta.me/blog/traceid-enterprise-architecture/) ([Markdown](https://akshaykgupta.me/blog/traceid-enterprise-architecture.md)): Working in a distributed system without TraceIDs is like navigating a maze in the dark. Learn how to build the Ubiquitous Telemetry Pattern for enterprise scale.
- [The 7 Levels of AI Memory: Overcoming Context Bloat and the Re-Explanation Tax](https://akshaykgupta.me/blog/ai-re-explanation-tax/) ([Markdown](https://akshaykgupta.me/blog/ai-re-explanation-tax.md)): Context is working memory; Memory is what persists. Discover the architectural tiers of AI memory, from simple Markdown routing to Agentic RAG and learn how to stop re-teaching your AI every session.
- [The AI Microwave: Why Enterprise AI Needs Better Architecture](https://akshaykgupta.me/blog/microwave-era-of-ai/) ([Markdown](https://akshaykgupta.me/blog/microwave-era-of-ai.md)): AI is like a microwave. It's an incredible piece of technology, but we still don't cook every meal in it. An architect's perspective on why we need to stop force-fitting AI into broken systems.
- [AI Harness Explained: The Architecture Behind Enterprise AI Agents](https://akshaykgupta.me/blog/demystifying-the-ai-harness/) ([Markdown](https://akshaykgupta.me/blog/demystifying-the-ai-harness.md)): In Enterprise AI, a harness is the software infrastructure wrapped around a language model that turns it from a raw text generator into a functional, reliable AI agent. A popular industry shorthand defines this relationship simply: Agent = Model + Harness.
- [Enterprise AI Governance: RBAC, PII, Data Residency & LLM Security](https://akshaykgupta.me/blog/enterprise-ai-is-more-of-a-governance-problem/) ([Markdown](https://akshaykgupta.me/blog/enterprise-ai-is-more-of-a-governance-problem.md)): Enterprise AI isn't an LLM problem. It's a data governance crisis. Learn how architects solve RBAC, PII, and data residency to deploy secure AI at scale.
- [Digital India Runs on OTPs: The Architecture of SMS Authentication at Scale](https://akshaykgupta.me/blog/digital-india-runs-on-otps/) ([Markdown](https://akshaykgupta.me/blog/digital-india-runs-on-otps.md)): India's digital economy runs on billions of SMS messages every day. Explore the architecture, reliability challenges, and future of OTP authentication
- [Remember When OpenClaw Was The Future? The AI Hype Cycle & Production Adoption](https://akshaykgupta.me/blog/remember-when-openclaw-was-the-future/) ([Markdown](https://akshaykgupta.me/blog/remember-when-openclaw-was-the-future.md)): Five years from now, users won't care whether a feature uses an AI agent, MCP and RAG. They'll simply expect the software to work.
- [Stop Using Your Smartest AI Model for Everything: AI Model Selection for Coding](https://akshaykgupta.me/blog/stop-using-your-smartest-ai-model-for-everything/) ([Markdown](https://akshaykgupta.me/blog/stop-using-your-smartest-ai-model-for-everything.md)): Most developers default to the strongest AI model for every task. Here’s why treating AI models like a specialised engineering team leads to faster iterations, lower token costs, and better software development.
- [HTTP QUERY: The New HTTP Method for Complex API Queries](https://akshaykgupta.me/blog/http-query-method-why-it-matters/) ([Markdown](https://akshaykgupta.me/blog/http-query-method-why-it-matters.md)): Why It Matters and Why Enterprise Adoption Will Take Years. The HTTP QUERY method solves one of REST’s oldest design problems.
- [Who Can Build Banking Software? Regulation in High-Stakes Software Engineering](https://akshaykgupta.me/blog/who-is-allowed-to-build-your-software/) ([Markdown](https://akshaykgupta.me/blog/who-is-allowed-to-build-your-software.md)): Banks, hospitals, and airlines run on code written by people with no license to write it. Here's why that's not a flaw — it's the system.
- [Is Git Becoming a Legacy Skill? How AI Is Changing Software Engineering](https://akshaykgupta.me/blog/is-git-becoming-a-legacy-skill/) ([Markdown](https://akshaykgupta.me/blog/is-git-becoming-a-legacy-skill.md)): A recent incident made me rethink one of software engineering’s most fundamental skills.
- [MCP Architecture: The Abstract UI Schema Pattern for Client-Agnostic Interfaces](https://akshaykgupta.me/blog/mcp-server-the-abstract-ui-schema-pattern/) ([Markdown](https://akshaykgupta.me/blog/mcp-server-the-abstract-ui-schema-pattern.md)): An enterprise architecture pattern for rendering analytics across Copilot, Teams, Claude Desktop, and custom applications without creating client-specific backend code
- [Secure MCP Server Architecture: The Middle-Tier Gatekeeper Pattern](https://akshaykgupta.me/blog/mcp-the-middle-tier-gatekeeper-pattern/) ([Markdown](https://akshaykgupta.me/blog/mcp-the-middle-tier-gatekeeper-pattern.md)): Secure your enterprise data warehouse from prompt injections when connecting LLMs via the Model Context Protocol.

## Core Expertise & Entity Knowledge
- Enterprise Architecture (https://www.wikidata.org/wiki/Q1143890)
- Model Context Protocol (MCP) (https://modelcontextprotocol.io)
- Distributed Systems & Computing (https://www.wikidata.org/wiki/Q204481)
- Artificial Intelligence Governance (https://www.wikidata.org/wiki/Q108170881)
- Financial Technology (FinTech) (https://www.wikidata.org/wiki/Q22908584)
- Cloud Native & Kubernetes Infrastructure (https://www.wikidata.org/wiki/Q22661360)
- High-Throughput Microservices (https://www.wikidata.org/wiki/Q18344583)
- Software Architecture (https://www.wikidata.org/wiki/Q211050)

## Active Projects & Software Systems
- [Karvics](https://karvics.com): Zero-Knowledge client-side privacy & developer utility suite (Web Crypto, AES-256-GCM, PWA).
- [TwinPixCleaner](https://github.com/AkshayKrGupta/TwinPixCleaner): Open-source native macOS photo deduplication utility using Apple Vision AI and SHA-256 matching.
- [NanoPress](https://github.com/AkshayKrGupta/NanoPress): Open-source native macOS multi-threaded batch media and PDF compression utility using Swift Concurrency.

## Full Technical Corpus
- [Full Text Markdown Corpus](https://akshaykgupta.me/llms-full.txt): Complete text of all published architecture notes in a single, clean markdown corpus for deep retrieval-augmented generation (RAG) and LLM analysis.