I'm a Computer Science student specializing in AI explainability. My focus is on building algorithmic, concurrent, and interactive tools to make complex concepts easier to understand.
- 🔭 Interests: Explainable AI (XAI), computational geometry, graph algorithms, and clean MVC application design.
- 🌱 Passion: I love turning theory into visual, usable software (primarily with Java/JavaFX/Swing), often with a touch of parallelism for performance.
- ⚡ Also: I enjoy tinkering with systems and networking projects for real-world applications.
- Learning: Deepening my knowledge of XAI (especially model interpretability with TCAV), advanced parallel patterns, and practical data tooling in Python.
- Building: Currently polishing my Point-Cloud Geometry Analyzer (2D/3D; QuickHull, Closest Pair, Diameter).
- Collaborating: Open to working on Java/JavaFX apps, algorithm visualizers, XAI tools, and performance profiling projects.
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