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MeetSolanki530/README.md

Hi 👋, I'm Meet Solanki

AI/ML Engineer • LLMs • Agentic AI • Automation Systems

🚀 About Me

  • 🧠 Building LLM-powered applications, RAG systems & AI agents
  • ⚙️ Designing automation workflows & MCP-based systems
  • ☁️ Deploying production-ready AI systems on cloud
  • 💼 Experience in real-world AI products & client solutions
  • 🔥 Focused on scalable, practical, and impactful AI systems

⚡ Tech Stack

🤖 AI / ML / GenAI

🧠 LLMs, RAG & Vector DBs

🤖 Agentic AI & Automation

⚙️ Backend & APIs

☁️ Cloud & Deployment

🚀 Featured Projects

🧠 RAG-Based AI Chatbots

📦 Amazon Sentiment Analysis

  • Achieved 93.65% accuracy
  • ML models + TF-IDF optimization

🔗 https://github.com/MeetSolanki530/Amazon_Products_Sentiment_Analysis

📚 Book Recommendation System

🔗 https://github.com/MeetSolanki530/Book_Recommendation_System

⚡ Currently Building

  • LLM-powered AI Agents & Multi-Agent Systems
  • AI workflow automation (n8n + APIs)
  • MCP-based AI architectures
  • Production-ready deployments

📊 GitHub Stats





🌐 Connect

           

💡 Focus

Building real-world AI systems - not just demos.

Open to AI/ML roles, freelance work, and collaborations 🚀

Popular repositories Loading

  1. RandomForestClassifier_covid19 RandomForestClassifier_covid19 Public

    Created a GitHub repository containing RandomForestClassifier analysis of COVID-19 dataset.

    Jupyter Notebook 1

  2. Unsupervised-Machine-Learning Unsupervised-Machine-Learning Public

    Jupyter Notebook 1

  3. Simple-Linear-Regression Simple-Linear-Regression Public

    My First Linear Regression Programme

    Jupyter Notebook

  4. EDA EDA Public

    the Titanic dataset is a well-known dataset in the field of data science and machine learning. It contains information about passengers aboard the Titanic, including attributes like age, sex, ticke…

    Jupyter Notebook

  5. IPL-EDA IPL-EDA Public

    Exploratory Data Analysis (EDA) on the IPL dataset using Python!

    Jupyter Notebook

  6. FIFA FIFA Public

    Exploratory Data Analysis (EDA) on the FIFA dataset using Python!

    Jupyter Notebook