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AnvitDevadiga/README.md
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yaml

anvitdevadiga@github: "--------------------"

Role: "AI Engineer"
Focus: "RAG systems, agentic workflows, practical AI"

Stack.Core: "Python, FastAPI, PostgreSQL, Tailwind, Docker"
Stack.AI: "LangChain, LangGraph, ChromaDB, FAISS, Oracle"

# Contact
Email: "anvit.works@gmail.com"

# GitHub Stats
Repos: "15"
Stars: "3"

# Pinned Projects
LegalEagle: "Offline RAG legal assistant for Indian law"
spider-sense: "Autonomous predictive price intelligence"

The issue in "Screenshot 2026-09-08 at 08.50.52.png" is that the word yaml is written outside of the backticks. To get the colored syntax box, yaml must be attached directly to the first set of three backticks like this: ````yaml`

Here is the complete, compiled code for your README. Copy everything inside the outer block below and paste it directly into your GitHub README.md:

```text
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██║  ██║██║ ╚████║ ╚████╔╝ ██║   ██║      ██████╔╝███████╗ ╚████╔╝ ██║  ██║██████╔╝██║╚██████╔╝██║  ██║
╚═╝  ╚═╝╚═╝  ╚═══╝  ╚═══╝  ╚═╝   ╚═╝      ╚═════╝ ╚══════╝  ╚═══╝  ╚═╝  ╚═╝╚═════╝ ╚═╝ ╚═════╝ ╚═╝  ╚═╝

AI Engineer building RAG systems, agentic workflows, and practical AI applications.

anvitdevadiga@github: "--------------------"

Role: "AI Engineer"
Focus: "RAG systems, agentic workflows, practical AI"

Stack.Core: "Python, FastAPI, PostgreSQL, Tailwind, Docker"
Stack.AI: "LangChain, LangGraph, ChromaDB, FAISS, Oracle"

# Contact
Email: "anvit.works@gmail.com"

# GitHub Stats
Repos: "15"
Stars: "3"

# Pinned Projects
LegalEagle: "Offline RAG legal assistant for Indian law"
spider-sense: "Autonomous predictive price intelligence"

AI Engineer building RAG systems, agentic workflows, and practical AI applications.

Tech Stack

LangChain • LangGraph • ChromaDB • FAISS • Oracle Vector Search

Pinned Loading

  1. LegalEagle LegalEagle Public

    Offline RAG legal assistant for Indian law — Constitution, IPC & BNS. Powered by Llama 3 + ChromaDB. Zero API cost, zero telemetry.

    Python

  2. spider-sense spider-sense Public

    🕷️ Spider-Sense: An autonomous predictive price intelligence platform. Powered by Bright Data Scraper Studio, it extracts real-time product data across Amazon, Walmart, and Best Buy. It uses scikit…

    Python

  3. msdesk msdesk Public

    Autonomous operational reporting agent built on TrueForge with custom Slack MCP (SSE), sandboxed Python analytics, and human-in-the-loop safety gates.

    JavaScript

  4. Multi-AgentResearchAssistant Multi-AgentResearchAssistant Public

    LangGraph multi-agent pipeline with Search, Summarizer, Critic and Report agents — deployed via FastAPI on Render.com

    Python