I design intuitive interfaces and build digital experiences
that are not only beautiful but meaningful.
Crafting intuitive and
engaging experiences.
Building intelligent systems
with machine learning.
Building scalable, high-performance
web applications.
Turning complex problems
into simple solutions.
UI/UX designer and Computer Science student currently working as a Design Intern at Eastencher Software Private Limited. Skilled at translating complex workflows into clean, intuitive interfaces. I actively leverage AI tools (like Claude, ChatGPT, Cursor, etc.) to supercharge my workflow, increase my design quality, and reduce time to delivery.
Computer Science student with a strong foundation in design principles and human-computer interaction. Continuously expanding my skill set through hands-on projects, industry tools, and real-world internship experience.
Detail-oriented, user-focused, and endlessly curious. Experienced in designing responsive systems, interactive dashboards, onboarding flows, and user-centered digital experiences using modern design tools and UI/UX principles.

A fintech app that simplifies personal finance through a Financial Health Score and wealth simulator, designed with intuitive UX and interactive prototypes.
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AI-powered healthcare platform streamlining clinician workflows, care coordination, and team collaboration.
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AI-powered face recognition attendance system built with Python, OpenCV, and Raspberry Pi for real-time, IoT-based attendance tracking.
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Gesture-controlled virtual drawing canvas using Python, OpenCV, and MediaPipe, enabling real-time drawing and erasing through hand gestures.
Github Link →Design methodologies, tools, and frontend technologies I bring to every project — from wireframes to pixel-perfect interfaces.


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