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vinitsonawane45/README.md

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🧬 About Me

AI Coding GIF

#!/usr/bin/env python3
# vinit.py — system profile

class VInitSonawane:

    ROLE       = "Computer Science Final Year • AI Engineer"
    LOCATION   = "Nagpur, India 🇮🇳"

    stack = {
        "ai_ml"    : ["PyTorch", "TensorFlow", "LangChain", "RAG", "LangGraph"],
        "backend"  : ["FastAPI", "Django", "Flask", "Laravel"],
        "frontend" : ["React", "TailwindCSS", "Bootstrap"],
        "cloud"    : ["AWS", "GCP", "Firebase", "Supabase"],
        "data"     : ["Pandas", "NumPy", "OpenCV", "MLflow"],
    }

    currently = [
        "Building LLM-powered real-world apps",
        "Exploring CUDA kernels + multi-modal AI",
        "Deploying scalable ML systems on cloud",
    ]

    motto = "Build fast. Break things. Learn faster. 🚀"

    def __repr__(self):
        return "Vinit Sonawane — turning ideas into AI"

🎯 Current Radar

Status Focus
🔥 Building LLM-powered apps with RAG pipelines
📚 Learning LangChain · Vector DBs · CUDA kernels · AWS and GCP Cloud · LangGraph
🚀 Deploying Scalable backends on AWS & GCP
🧪 Exploring Multi-modal AI & custom model training

🧠 AI · ML · Data Science Stack


🌐 Web · Backend · Cloud




📊 GitHub Analytics

  


🏆 GitHub Trophies


📈 Contribution Activity


🐍 Contribution Snake

contribution snake
⚙️ Set up the Snake GitHub Action

Create .github/workflows/snake.yml in your profile repo:

name: Generate Snake Animation
on:
  schedule:
    - cron: "0 0 * * *"
  workflow_dispatch:
jobs:
  build:
    runs-on: ubuntu-latest
    steps:
      - uses: Platane/snk@v3
        with:
          github_user_name: vinitsonawane45
          outputs: |
            dist/github-snake.svg
            dist/github-snake-dark.svg?palette=github-dark
      - uses: crazy-max/ghaction-github-pages@v3
        with:
          target_branch: output
          build_dir: dist
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

Go to Actions → Generate Snake Animation → Run workflow to trigger it manually the first time.


🧭 2026 Learning Roadmap

LLMs & Prompt Eng   ████████████████████░  90%
RAG Pipelines       ██████████████████░░░  80%
LangChain / Agents  ████████████████░░░░░  75%
MLOps & Deployment  ██████████████░░░░░░░  65%
CUDA / GPU kernels  ████████░░░░░░░░░░░░░  40%
Multi-modal AI      ██████░░░░░░░░░░░░░░░  30%

💡 The Way I Think

"The best model is the one that ships — not the one still training."

Principle My Take
Ship Fast Done > Perfect. Production is the best teacher.
🤖 AI-First Mindset Every problem I see — I ask: can an LLM solve 80% of this?
📖 Learn in Public My GitHub IS my resume. Every commit = growth.
🔬 Depth > Breadth Three tools mastered beats thirty tools skimmed.
🌐 Build to Impact Code nobody uses is an expensive hobby.

📬 Let's Build Something Together

LinkedIn Email


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