Computer Science student at the University of New Mexico focused on software engineering, open-source contribution, and scientific / ML tooling.
I like working in real codebases: reproducing bugs, adding regression tests, tightening edge cases, and shipping fixes that make tools more reliable.
- Open-source contributions across developer tools, scientific Python, and ML infrastructure
- Backend and systems-oriented software engineering
- Applied machine learning projects with reproducible workflows and evaluation
- NeoGeographyToolkit/StereoPipeline
Merged fixes in planetary-imagery and geospatial tooling, including
point2demandgeodiffbehavior updates. - mlflow/mlflow Contributed fixes for trace metrics, grouped session counts, Bedrock response parsing, and older-server artifact compatibility.
- pytest-dev/pytest
Merged a fix to improve
pytest.raises(..., match=...)failure behavior. - pydata/xarray, rasterio/rasterio, and sandialabs/staged-script Contributed targeted fixes spanning numerical edge cases, API/docs behavior, and documentation tooling.
- WildFireDetector
Wildfire image-classification project with reproducible baselines, experiment tracking, arbitrary-image inference, and a final model that reached
96.5%test accuracy with0.991AUC. - scrabble-ai JavaFX Scrabble project with move validation, scoring, dictionary support, and best-move search.
- Languages: Python, Java, Haskell, C/C++, JavaScript, TypeScript
- Interests: debugging, testing, backend systems, scientific Python, developer tools, ML infrastructure
- Environment: Linux, macOS
- Email: gemilazzo@gmail.com
- GitHub: github.com/lavaFreak