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Rekin226/README.md

Abdoul Rachid Ouédraogo (韋正)

Typing SVG

Postdoctoral Researcher @ NCU · Adjunct Instructor @ FCU · Founder of POUK_YAM

ORCID Google Scholar LinkedIn Location

I build AI for science: physics-informed machine learning, agentic AI, and the tested software that ships it. My depth is in hydrogeology and groundwater modeling, which I use as a proving ground for honest, reproducible scientific ML. I also teach numerical methods at Feng Chia University.

🚀 Featured projects

HydroPhysicsAI

PyTorch CUDA

GPU physics-informed neural operators for groundwater, one model across 61 wells.

  • One attribute-conditioned operator vs 61 hand-calibrated ODEs
  • Generalizes to unseen wells: leave-one-well-out KGE 0.565 (climatology 0.446, in-sample 0.591)
  • Forecast LSTM beats persistence at 7 & 30 days, calibrated intervals
  • 14× GPU speedup (CUDA, bf16) · NVIDIA PhysicsNeMo port

Live demo

AquaScope

Python PyPI

Open-source Python toolkit that unifies global water data under one API.

  • 15 collectors: USGS, FAO, GEMStat, EU WFD, and more
  • 26 methodologies + an agentic AI engine (7 pipelines)
  • Bulletin 17C flood frequency, FAO-56 ET, CAMELS-validated
  • 500+ tests, Python 3.10+

Support on Ko-fi

Agronaut

Python LangChain

Tool-calling aquaponics agent over a deterministic, tested, cited engineering core.

  • LLM collects and routes; a verifiable engine does the math
  • Cross-session memory + a deep troubleshooting knowledge base
  • Calibrated on real-pond data; design & optimize need no LLM
  • Runs as Streamlit or a Telegram agent; Ollama · NVIDIA · HF

paper-agent

Claude Code plugin Semantic Scholar

Claude Code plugin that turns the agent into a disciplined manuscript collaborator.

  • Five modes: draft, review, revise, proofread, audit
  • Semantic Scholar MCP citations (no API key), anti-fabrication guardrails
  • Hydrology (HJ, JHRS) + IEEE + a generic quantitative-science profile
  • Clean .docx round-trip; bundled try-it demos

🔬 Research interests

Physics-informed & scientific ML · Agentic AI for science · Groundwater modeling & hydrogeology · Numerical methods & scientific computing · Sustainable water resources

🛠️ Tech stack

tech stack

📌 Recent work

  • 🧠 HydroPhysicsAI: GPU physics-informed neural operators benchmarked against per-well gray-box ODEs, with a live demo and an honest, reproducible benchmark harness
  • 🤖 paper-agent: packaged as a Claude Code plugin (v1.5.0) — draft/review/revise/proofread/audit manuscripts with Semantic Scholar MCP citation integrity, now broadened from hydrology to IEEE and a generic quantitative-science profile
  • 🌱 Agronaut: tool-calling aquaponics agent over a deterministic, cited engineering core, with cross-session memory and a troubleshooting knowledge base
  • 📄 Hydrogeology Journal accepted manuscript on gray-box groundwater modeling for the Zhuoshui Alluvial Fan, Taiwan
  • 📊 aquascope-demos: real-world reproducible demo cases on public hydrology datasets
  • 🎓 Numerical Analysis with Python, graduate course taught at Feng Chia University
  • 💼 POUK_YAM, consulting and software at the intersection of scientific computing and agentic AI

🎓 Background

  • PhD, Hydrogeology and Groundwater Modeling, Feng Chia University, Taiwan
  • MSc, Hydrogeology, Feng Chia University, Taiwan
  • Undergraduate, 2iE (Institut International d'Ingénierie de l'Eau et de l'Environnement), Ouagadougou, Burkina Faso

🌐 Multilingual: English, French, Mandarin (intermediate)

📈 GitHub activity

stats top langs streak trophies

POUK_YAM AquaScope

Building AI for science · Taichung, Taiwan

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  1. aquascope aquascope Public

    Open-source Python toolkit for water data, hydrology, and agricultural water management — 15 unified collectors (USGS, FAO, GEMStat, EU WFD…), Bulletin 17C flood frequency, FAO-56 ET₀, and an AI me…

    Python 7 6

  2. paper-agent paper-agent Public

    Claude Code plugin to draft, review, revise, proofread, and audit quantitative-science journal manuscripts at submission quality. Five strict modes, Semantic Scholar MCP citation integrity (no API …

    6 2

  3. HydroPhysicsAI HydroPhysicsAI Public

    GPU physics-informed neural operators for groundwater, benchmarked against per-well gray-box ODEs (PyTorch / PhysicsNeMo / CUDA)

    Python

  4. Agronaut Agronaut Public

    Personal agronomy agent for aquaponics: a tool-calling LLM over a deterministic, tested, cited engineering core. Designs and optimizes systems (no LLM needed), troubleshoots with cross-session memo…

    Python

  5. aquascope-demos aquascope-demos Public

    Real-world hydrology demo cases for AquaScope. Self-contained reproducible Jupyter notebooks with every headline result checked against a published reference.

    Jupyter Notebook

  6. groundwater-prediction-graybox-model groundwater-prediction-graybox-model Public

    Gray-box modeling workflow for groundwater level prediction in the Zhuoshui Alluvial Fan, Taiwan. Companion code to a Hydrogeology Journal manuscript.

    Python