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ChinmayPande48/README.md

👋 Hello, I'm Chinmay Pande

Open Source Contributor | Data & AI Engineer

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🚀 About Me

I'm passionate about pushing the boundaries of artificial intelligence through research and open-source contributions. Currently exploring MCP, Generative AI, and agentic systems with a focus on practical applications.

  • 🔬 Research Focus: MCP, Generative AI, Multi-Agent Systems,
  • 💡 Current Projects: Building an agnetic Newsletter builder with MCP and Langgraph
  • 🌱 Learning: Databricks, PySpark, Agentic AI
  • 🤝 Collaboration: Open to innovative projects and open source contributions

🛠️ Tech Stack

Languages

Python

Data Engineering/ETL

Databricks ETL Apache Spark

Frameworks

NumPy Pandas LangChain Pydantic Scikit-learn FastAPI

CI/CD

Docker Helm GitHub Actions Jenkins

Databases

Neo4J Qdrant

Development

Git

📊 GitHub Analytics

GitHub Stats GitHub Streak Top Languages

🤝 Let's Connect

I'm always excited to discuss AI research, collaborate on innovative projects, or explore new opportunities in data & AI enginerring.

LinkedIn Email

💡 "Learning one commit at a time."

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  1. databricks-mutual-fund-analytics databricks-mutual-fund-analytics Public

    An ETL pipeline built on Databricks to transform and analyze mutual fund NAV data. It implements a Medallion Architecture to compute key financial metrics like year-over-year returns and Sharpe Rat…

    Jupyter Notebook 1

  2. simple-graphrag-kuzudb simple-graphrag-kuzudb Public

    A simple GraphRAG implementation for structured data using KuzuDB

    Python

  3. heart-attack-prediction heart-attack-prediction Public

    A machine learning project to predict the likelihood of a heart attack based on patient health data.

    Jupyter Notebook

  4. edge-ai-quantized edge-ai-quantized Public

    A quantized approach to create classification models for edge devices

    Jupyter Notebook