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Swanand33/README.md

Hi there, I'm Swanand 👋

About Me

  • Data & AI Engineer specializing in Production AI Applications, RAG Systems, and Data Analytics
  • Building live SaaS applications with AI at the core
  • Background in Data engineering, analytics, and AI-powered automation
  • Passionate about creating production-ready AI solutions that solve real problems
  • Based in India

🌟 Live Production Applications

🚀 DocGrit | AI API Documentation Generator

Automated endpoint detection • Intelligent documentation generation • Interactive API explorer

📊 Data Quality Detective | CSV Analysis Tool

Automated quality checks • Anomaly detection • Comprehensive data insights

📰 ClearFeed | AI News Aggregator

Real-time news aggregation • AI-powered scoring • Smart categorization

Visit DocGrit Visit MDQD Visit ClearFeed

🛠️ Technologies & Tools

Python SQL MySQL PostgreSQL

Pandas NumPy Apache Spark Databricks Snowflake

Power BI Tableau Matplotlib Seaborn Plotly

OpenAI Claude Gemini LangChain Hugging Face

Pinecone FAISS ChromaDB

FastAPI Flask Streamlit Next.js React REST API

AWS Azure GCP AWS S3 Google BigQuery

Git GitHub VS Code Jupyter Docker

Excel Bootstrap Tailwind CSS WordPress

📈 GitHub Stats

GitHub Stats
Top Languages

🎯 What I'm Working On

  • 🚀 Production AI Apps: Building and scaling live SaaS applications with AI capabilities
  • 🔗 Advanced RAG Systems: Implementing production-ready retrieval-augmented generation pipelines
  • 📊 AI-Enhanced Analytics: Creating intelligent data analysis tools with LLM integration
  • 🤖 LangChain Applications: Developing complex AI workflows and agent-based systems

🏆 Certifications & Achievements

🏅 Databricks: Generative AI Fundamentals (2024)
🏅 Dataiku: Core Designer & Developer (2024)
🏅 Coursera: Prompt Engineering for ChatGPT (2023)
🏅 LinkedIn Learning: Data Analyst Career Track (2023)
🏅 Google: Crash Course on Python (2022)

📊 Experience Highlights

✅ Built 3+ live production AI applications serving real users
✅ 17+ GitHub repositories spanning AI applications and data analytics
✅ Improved data accuracy by 20% through automated quality checks
✅ Created end-to-end RAG systems with vector databases and LangChain
✅ Developed API-first solutions with FastAPI and modern web frameworks

🌐 Connect With Me

LinkedIn Portfolio Medium DocGrit

💼 Open to Opportunities

Currently seeking opportunities in:

  • Gen AI Engineer
  • AI Developer
  • Data Analyst
  • Data Engineer
  • Python Developer
  • Data Analyst
  • AI/ML
  • Business Analyst

⭐️ Fun Fact: I don't just talk about AI. I ship production apps with it! Check out my live projects above.

Profile Views

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  1. prompt-engineering-playground prompt-engineering-playground Public

    A comprehensive demonstration of advanced prompting techniques for large language models, showcasing the art and science of prompt engineering.

    Python

  2. LowCarbonTrade-EDA LowCarbonTrade-EDA Public

    Analyzes global trade data for low-carbon technologies (1994-2023) with a complete workflow: data cleaning, statistical analysis, and visualizations, presented in a professional and reusable format.

    Jupyter Notebook 1

  3. SUGAR-WAGON-SQL SUGAR-WAGON-SQL Public

    Analyzed candy distributor data to optimize shipping routes and product profitability across 5 factories.

  4. Chat-Assistant-RAG- Chat-Assistant-RAG- Public

    AI-powered document chat assistant using RAG (Retrieval-Augmented Generation) architecture. Upload PDF/DOCX files and chat with them using OpenAI GPT models. Built with LangChain, FAISS vector stor…

    Python

  5. accessible-ai-agents accessible-ai-agents Public

    Multi-agent AI system for making digital content accessible. Uses Gemini Vision API for image alt-text generation and PyPDF2 for PDF text extraction. Built with Google ADK for the 5-Day AI Agents I…

    Python

  6. AI-ChatBot AI-ChatBot Public

    AI ChatBot using OpenAI's GPT-4 with a modern, user-friendly interface built with HTML, CSS, and JavaScript.

    Python