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Rohitstwt/README.md

👋 Hi, I'm Rohit Patnaik

💻 Machine Learning & Systems Enthusiast 🚀 Open Source Contributor (sktime ecosystem) 🧠 Focused on Time Series & Agentic Workflows

⚔️ Tech Stack

Languages & Core Python • SQL • Git

Machine Learning NumPy • pandas • scikit-learn • SHAP Time Series: sktime

Systems & Backend FastAPI (basic) • ML pipelines • Evaluation systems

Tools Git • GitHub • VS Code • Jupyter

🛠️ Open Source Contributions

PR Repository Focus
[ENH] Agentic workflow benchmark suite #396 sktime-mcp Benchmarking framework
[FIX] Substring fallback for tag suggestions #366 sktime-mcp Utility + UX improvement
[BUG] Fix TimesFMForecaster Python version bounds #10106 sktime Dependency + compatibility
[BUG] Fix HierarchicalProphet dependency bounds #10103 sktime Version control fix
[DOC] Modernize SHAP API in notebook #4926 shap API modernization

🚀 Current Work

🔥 Agentic Benchmark Suite (ESoC 2026)

Building a benchmarking framework for sktime-mcp to evaluate agent-generated pipelines across:

  • Pipeline validity
  • Task alignment
  • Predictive performance

📌 Proposal: https://github.com/Rohitstwt/esoc-2026-sktime-agentic-benchmark

🧪 Focus Areas

  • Time series systems (sktime internals)
  • Agentic workflows & evaluation
  • Open-source ML infrastructure
  • Applied ML + explainability

💡 About Me

I focus on understanding systems deeply — fixing real issues, improving reliability, and building structured solutions like evaluation frameworks rather than just using libraries.

📫 Open to collaborating on meaningful ML systems and open-source projects.

Pinned Loading

  1. esoc-2026-sktime-agentic-benchmark esoc-2026-sktime-agentic-benchmark Public

    ESoC 2026 proposal - Agentic benchmarking framework for sktime-mcp

    1

  2. Rohitstwt Rohitstwt Public

    Config files for my GitHub profile.

  3. sktime sktime Public

    Forked from sktime/sktime

    A unified framework for machine learning with time series

    Python

  4. sktime-mcp sktime-mcp Public

    Forked from sktime/sktime-mcp

    An MCP (Model Context Protocol) layer that exposes sktime’s native registry and semantics to an LLM

    Python