Computer Science student at the University of New Mexico focused on software engineering, backend systems, machine learning, and developer-facing tools.
I like projects that mix clear engineering fundamentals with interesting problem solving: debugging real codebases, designing maintainable systems, and building things that are useful to other people.
- Backend and full-stack software engineering
- Applied machine learning and data-focused projects
- Open-source contribution workflow: debugging, testing, code review, and pull requests
- Building polished software projects and developer-facing tools
- excalidraw/excalidraw#11192 Fixed grouped selection outlines so they use the active highlight color consistently, and added a regression test around the selection behavior.
- pytest-dev/pytest#14391
Updated
pytest.raises(..., match=...)failures to preserve the original exception as the direct cause of the resultingAssertionError, with test coverage and changelog updates.
- 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.
- Languages: Python, Java, Haskell, C, JavaScript, TypeScript
- Libraries and tools: TensorFlow, OpenCV, NumPy, Pandas, Git, pytest
- Areas of interest: backend development, ML, developer tooling, debugging, testing
- Environment: Linux, macOS
- Repositories centered on software engineering, ML, debugging, and problem solving
- Open-source contributions showing how I work in existing codebases
- Email: gemilazzo@gmail.com
- GitHub: github.com/lavaFreak
More projects are in progress as I keep rounding out backend, ML, and developer-tooling work.

