I’m an AI undergraduate at the University of Moratuwa, Sri Lanka, focused on closing the gap between a good model and a reliable product. My work sits where computer vision, real-time backends, and practical interfaces meet.
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Unifying indoor and outdoor tracking with object detection, geofencing, and WebSocket-driven alerts.
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Health-risk awareness product with clear patient inputs, prediction signals, and a full-stack FARM workflow.
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Deep-learning exploration of stroke-risk assessment from clinical-style parameters and interpretable inputs.
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A Mesa-based multi-agent simulation of solar, wind, batteries, consumers, and maintenance agents.
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A practical weather-classification project, from exploratory data analysis and ML baselines through model evaluation.
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Structured data-science work that takes experiments closer to repeatable runs and deployable artifacts.
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🔷 NOLIMITA TypeScript collaboration track that complements the Python-heavy work with maintainable front-end or full-stack foundations.
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Interested in computer vision, real-time systems, or taking ML into production?
Let’s build something useful together.