About me
I am deeply focused on leveraging deep learning to support cognitive and emotional wellness — designing systems that understand, adapt to, and respond to the human mind with care and intelligence.
My current work explores how machine learning can interpret subtle patterns in speech, behavior, and visual cues to detect mental states, enhance emotional insight, and enable early intervention.
I believe that artificial intelligence, when developed ethically and empathetically, can be a powerful ally in mental health. From emotion-aware interfaces to neural pattern analysis and adaptive feedback systems, I am also driven by the potential of emerging technologies to build more mindful, inclusive, and emotionally intelligent digital experiences for people across the world.
What I'm doing
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Emotion-Centered UI Design
Designing interfaces that intuitively reflect and respond to users’ emotional and cognitive states — blending aesthetics with affective computing.
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AI-Driven System Development
Building intelligent platforms that leverage deep learning to interpret behavioral patterns and enable real-time emotional insights.
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Wellness-Focused Mobile Tools
Developing mobile applications that integrate speech and visual analysis for early detection and mental well-being support.
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Visual Signal Decoding
Using computer vision to extract emotional and cognitive cues from facial expressions, posture, and other visual signals — powering emotionally intelligent systems.