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Achievement: Pull Sharkx4Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Quickdraw

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BuczynskiRafal/README.md

I build automated testing and benchmarking infrastructure, profile desktop and system performance, and develop web backends and scientific ML tools in Python.

  • Performance Profiling & Observability: CPU microarchitecture exploration, assembly/PDB symbol diagnostics, file-system I/O and memory latency tracking (Intel VTune, Windows/Linux internals), and performance regression pipelines (Jenkins, Ansible).
  • Test Automation & Python Backend: Custom test automation frameworks, end-to-end UI and API testing (Playwright, pytest, REST APIs), and web application development (Django, FastAPI, Flask, SQLAlchemy, PostgreSQL).
  • Scientific Computing & Hydroinformatics: Deep learning and numerical modeling for sensor time series and infrastructure networks (PyTorch, Liquid Time-Constant Networks, GraphSAGE, NumPy, pandas, scikit-learn, EPA SWMM), with peer-reviewed publications in Water (MDPI).
  • CAD / BIM & Developer Tooling: Engineering desktop and geometry automation (Revit API, FreeCAD, QGIS, PySide6, GeoPackage) and deterministic quality-gate workflows for AI coding agents.

Pinned Loading

  1. catchments_simulation catchments_simulation Public

    Python library for automated sensitivity sweeps and hydrograph analysis of EPA SWMM subcatchment parameters (pyswmm / swmmio).

    Python 6 1

  2. craftsman craftsman Public

    Zero-dependency Agentic Software Engineering & Quality Gate Framework (Author != Reviewer) with 3-Gear verification, OS Git guards, and multi-agent workflows for Claude Code, Codex, Copilot, Cursor…

    Python

  3. rapid-catchment-generator rapid-catchment-generator Public

    Desktop GUI (PySide6) & CLI tool for rapid prototyping of EPA SWMM hydraulic models using fuzzy logic (MDPI Water 2025).

    Python 5

  4. ltc-hydrology-flood-prediction ltc-hydrology-flood-prediction Public

    Official PyTorch implementation & benchmark of Liquid Time-Constant Networks (LNN) for urban drainage water level forecasting (MDPI Water 2026).

    Python

  5. mep-tools mep-tools Public

    Autodesk Revit 2026 add-in (.NET 8 / C#) for automated 3D alignment and one-click connection of MEP pipes and fittings.

    C#

  6. stormlab stormlab Public

    Django 5.1 & EPA SWMM 5.2 platform for urban stormwater network simulation, PN-EN 752 hydraulic validation, and GraphSAGE/MLP rehabilitation recommendations.

    Python