I'm a Data Scientist and Researcher working on infrastructure resilience, hydrologic modeling, probabilistic hazard analysis, and scientific software development.
My work focuses on building hazard models, adaptive forecasting systems, and decision‑support tools that support real‑world decision‑making.

I enjoy transforming scientific workflows into scalable web applications, GeoAI systems, and Digital Twins that make environmental data actionable.

• Hazard Analysis — floods, droughts, extremes, natural hazards, probabilistic risk
• Scientific Software — Python, geospatial processing, backend systems
• GeoAI & Web Apps — decision‑support systems for environmental data
• Privacy‑First AI — offline LLMs, local inference, regulatory‑safe architectures

• Languages: Python, R, JavaScript, Bash, Rust
• Modeling: NumPy, SciPy, Pandas, xarray, PyTorch
• Geospatial: GDAL, Rasterio, GeoPandas, Shapely
• Backend: Flask, FastAPI, Docker, Linux
• Visualization: Matplotlib, Plotly, infographic‑style scientific figures
• AI/ML: LLMs, RAG, local inference pipelines

• Building Risk Assessment Models for Hazards
• Designing AI assistants for regulated industries
• Developing web‑based decision‑support systems for environmental insights

If you’re working on hazard modeling, scientific software, or privacy‑first AI, I’m always happy to connect.