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Anarv2104/README.md

Anarv Vasavada

I operate where intelligence meets control. I don't follow it — I redesign it.

Systems engineer building autonomous AI infrastructure, multi-agent orchestration, and decentralized trust layers.
If it thinks, coordinates, or scales — I'm probably working on it.


Profile Views  Portfolio  LinkedIn  X  Medium  Email 




Selected Work

AI influence tracing — maps how ideas propagate across agent networks. Published as an open-source PyPI package.

Python Graph Analysis NLP

Multi-agent orchestration OS — coordinates autonomous agents at scale with intelligent task routing.

Python LangChain FastAPI

Decentralized AI identity and trust registry for verifiable agent-to-agent interactions.

TypeScript Web3 Node.js

Platform designed to enhance collaboration among developers and experts across domains, using blockchain and a token-based system for secure, transparent interactions.

Blockchain Web3 JavaScript

Decentralized application mapping and visualization platform.

JavaScript React MongoDB

 




Builder Story

I started by asking a simple question: what happens when AI systems stop being tools and start being participants?

That led me from building full-stack apps to designing multi-agent infrastructure — systems where autonomous agents coordinate, negotiate, and self-govern. I published TraceIQ as an open-source package, architected Octopus for agent orchestration, and built Orynth to give AI systems verifiable identity.

I'm not here to fine-tune models. I'm here to build the scaffolding that makes intelligence operational at scale.




Current Focus

AI Infrastructure & System Design — architecting the coordination layer between autonomous agents

Multi-Agent Systems — building orchestration frameworks that handle real-world complexity

Founder Mode — shipping production systems, not prototypes




Writing on AI Systems & Multi-Agent Infrastructure

Essays on building real AI systems — reliability, coordination, memory, and the future of autonomous agents.

The Biggest Lie About AI Adoption
Why most AI projects fail before deployment.

The AI Bubble Is Real
Where hype hides real infrastructure problems.

Context Is Not Memory
The biggest misconception in modern LLM systems.

Read All Essays



What I Engineer

Systems I build live where intelligence meets infrastructure.

AI Systems

LLM-native workflows, reasoning pipelines, evaluation, and reliability.

Multi-Agent Infra

Orchestration, coordination, memory, tracing, and execution safety.

System Design

Architecture that survives scale, latency, failures, and messy reality.

Full Stack Engineering

Product-grade web apps with clean UI, APIs, and deployments.


Tech Stack

Languages Python TypeScript JavaScript Swift Bash
AI / ML TensorFlow PyTorch OpenCV LangChain scikit-learn
Backend FastAPI Flask Django Node.js Express
Frontend React Next.js TailwindCSS
Data & Infra MongoDB MySQL Firebase Docker Vercel Git



Open To

AI/ML Internships · Research Collaborations · Startup Co-founding · Consulting · Full-time Roles

If you're building something ambitious in AI infrastructure or agent systems — let's talk.

Email  LinkedIn  Buy Me a Coffee




GitHub Stats



GitHub Streak



Top Languages

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  1. Anarv2104 Anarv2104 Public

    Config files for my GitHub profile.

    1

  2. Octopus Octopus Public

    Octopus is an autonomous AI operating system that orchestrates intelligent agent pods for research, execution, and innovation—across tools, teams, and domains. Build, reason, and automate with mult…

    JavaScript 1 1

  3. de-mapp de-mapp Public

    Forked from Priyank911/de-mapp

    Powered by MCX

    JavaScript

  4. VisionX VisionX Public

    VisionX is an innovative platform designed to enhance collaboration among developers and experts across various domains. Leveraging blockchain technology, VisionX introduces a unique token-based sy…

    HTML 1

  5. My-Portfolio My-Portfolio Public

    A portfolio engineered like everything I build precise, restless, and deliberate.

    TypeScript