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R0SEWT/README.md

👋 Hi, I'm Rody — Applied ML Engineer, RAG & Agentic Systems

🚀 Highlights

  • 🤖 Hub-and-spoke multi-agent systems in Copilot Studio, with a model-agnostic LLM-as-judge evaluation layer
  • 🧠 ML pipelines for real-time computer vision & predictive analytics
  • 📊 Big Data with H2O.ai, Parquet & distributed processing
  • 🔍 Interpretable AI (SHAP, LIME)
  • 🤝 Teamwork on applied AI projects at CIP (CGIAR)

🛠️ Tech Stack

CategoryTools & Languages
LanguagesPythonRC++SQL
ML/DSPyTorchScikit-learnH2O.aiOptuna
Data VizMatplotlibSeabornPowerBI
Infra & APIFastAPIDockerFlask

📂 Featured Projects

ProjectPreviewDescription
GENO-MAPAún no tenemos imagenCorrespondence-free validation framework using kNN graph invariants — presented as a poster at SALA 2026
Gallstone RiskAún no tenemos imagenML for resource-constrained screening, with a human-in-the-loop SHAP inspection interface — live demo
SpotiOrganizerAún no tenemos imagenPlaylist automation with mood & tempo clustering

📊 GitHub Stats

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  1. Denmark-HousePrices-AnalysisDenmark-HousePrices-AnalysisPublic

    End-to-end ML pipeline on 1.5M Danish residential house price transactions (1992–2024). XGBoost + Optuna on H2O GPU cluster (R² ≈ 0.9999 on log_price), medallion architecture, Tableau exports.

    Jupyter Notebook 2

  2. gallstone-risk-rural-peru-mlgallstone-risk-rural-peru-mlPublic

    XGBoost classifier predicting gallstone risk using bioimpedance from rural Peru. Reproduces published ML methodology and adapts for field deployment without lab tests. Deployed at gallstone.rosewt.…

    Jupyter Notebook 1

  3. GENO-MAP_Correspondence-Free-Diagnostics-for-Sweet-Potato-Diversity-MapsGENO-MAP_Correspondence-Free-Diagnostics-for-Sweet-Potato-Diversity-MapsPublic

    Correspondence-free pipeline for validating genomic diversity maps of sweet potato collections. PCA/UMAP + kNN graphs on DArT SNP matrices; PCA-30D vs autoencoders in n≪p regimes. Conference poster.

    Jupyter Notebook

  4. spotify-playlist-organizerspotify-playlist-organizerPublic

    Flask web app organizing Spotify liked songs into playlists via K-means clustering on audio features. Spotify OAuth, cosine similarity recommendations, MongoDB, Redis, Docker Compose.

    HTML 2