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Achievement: Pair Extraordinairex3Achievement: Pull Sharkx2

Achievements

Achievement: Pair Extraordinairex3Achievement: Pull Sharkx2

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dakshp26/README.md

Hi, I'm Daksh👋

Python Docker SQL TypeScript JavaScript Node.js Claude Streamlit

  • 👀 I’m interested in Machine Learning, Full Stack Development, AI Agents and Automation.
  • 🧑‍💼 Open to opportunities.

🧠 Technical Skills

  • Languages: Python, TypeScript, JavaScript, Java, SQL (PostgreSQL)
  • Frameworks & Libraries: FastAPI, Next.js, React, LangChain, PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy, SQLAlchemy, Alembic, Qiskit, MLflow, Airflow, Streamlit
  • Cloud / DevOps: AWS, Azure SQL, Docker, Jenkins (CI/CD), Git, Power BI, Alteryx
  • Concepts: Data Structures & Algorithms, System Design, REST APIs, Microservices, ETL, Machine Learning, Generative AI / LLMs, Cybersecurity

🚀 Projects

Project Description Tech Stack
Llamagraph Visual drag-and-drop AI pipeline builder running on local Ollama LLMs Next.js, FastAPI, Ollama, React
PDF Dashboard With MCP Streamlit dashboard to upload, vectorize, view, and chat with PDFs + MCP retrieval server for AI agents Streamlit, Python, LangChain, Chroma DB, MCP
Content Creator AI Agent Generates vertical videos and square images with captions using Pexels + MoviePy via Streamlit UI Streamlit, Python, LangChain MoviePy, Pexels API

🤝 Open Source Contributions

Project Stars Merged PRs
awesome-python ⭐ PR #2917, PR #2920
algorithms ⭐ PR #2767

🌐 Social Links

LinkedIn GitHub

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  1. llamagraph llamagraph Public

    Visual drag-and-drop AI pipeline builder that runs on local Ollama LLMs. Built with Next.js, FastAPI, Ollama, and React.

    TypeScript 1 1

  2. PDFDashboardWithMCP PDFDashboardWithMCP Public

    Upload PDFs, extract text via OCR/PyMuPDF RAG Pipeline, and chat with your documents using a local LLM — fully offline via Ollama, with a Streamlit dashboard and MCP server for AI assistant integra…

    Python