Computer Engineering (AI & Analytics) student focused on building real-world, production-style AI and data systems.
I work across the full stack of problem-solving — from data analysis and machine learning to backend logic, system design, and reliability-focused evaluation.
My projects emphasize explainability, failure-mode analysis, and practical deployment, rather than demo-only accuracy.
Currently building and experimenting with:
- Data Analytics & Machine Learning systems
- AI reliability, hallucination detection, and safety analysis
- Backend logic, databases, and automation workflows
Always open to meaningful collaboration and technical discussions.
I’d love to connect!
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