About Me
Design that
ships.
UI/UX Designer and AI & Machine Learning graduate who designs in Figma and ships the real product in Next.js. Comfortable taking an interface from wireframes and user flows to high-fidelity, interactive prototypes, then building responsive, animation-rich frontends with parallax effects, smooth transitions, and custom hover-state components.
Strong grasp of core UI/UX principles, design consistency across web and mobile, and developer handoff — combining a designer's eye for clean, intuitive interfaces with an engineer's ability to actually build them. Seeking a UI/UX Designer role where design thinking and frontend execution meet.
Languages
7.1/10
CGPA
2026
Graduated
2
Sites Shipped
2nd Place IoT
Achievement
Location
📍 Kerala, India / UAE
UAE family residence visa · NOC available for employment & internships
Education
Academic background.
B.Tech in CSE (AI & ML Specialization)
SRM Institute of Science and Technology
Chennai, India · SRMIST
Class XII
GOV HSS Koothuparamba
Kerala, India · Kerala Board
Class X
Rani Jai HSS, Nirmalagiri
Kerala, India · Kerala Board
Skills
Tools of the craft.
Design & Prototyping
Frontend
Programming
AI & ML
Databases & Tools
Projects
Selected work.
UI/UX Design & Development
Azalea by Zehra — E-Commerce Website
Designed the complete interface in Figma — wireframes, mockups, and an interactive prototype — then built it as a full-stack store in Next.js for a clothing brand. Fully responsive across mobile, tablet, and desktop, with scroll-driven parallax sections, smooth page transitions, and custom hover-effect product cards. Maintained a consistent design system and refined screens based on client feedback.
Figma · Design & Prototype
Responsive Web UI Design
Designed a multi-section responsive website end-to-end in Figma, from low-fidelity wireframes to a high-fidelity interactive prototype. Crafted parallax scroll effects, animated section reveals, and custom hover states. Applied core UI/UX principles — visual hierarchy, consistency, and user-flow mapping — for a clean, intuitive experience.
Personal Project
AI-Driven Urban Safety Monitoring System
Designed and built a real-time React dashboard — live camera grid, alert toasts, incident export, and analytics — with a clear, usable layout for fast decision-making. Behind it, an end-to-end CCTV anomaly detection engine using YOLOv8 (rule-based scoring + Random Forest) cut false positives from 96% to 12% at 98% accuracy, served via a FastAPI + WebSocket backend.
Certifications
Credentials.
AWS Certified Cloud Practitioner
Amazon Web Services
DBMS: Master the Fundamentals and Advanced Concepts
Scaler Topics
IT Network Cabling (Fibre Optics)
Udemy
HTML, CSS, and Javascript for Web Developers
Coursera · Johns Hopkins University
Machine Learning Specialization
DeepLearning.AI · Andrew Ng
Contact
Let's build something.
Open to UI/UX and frontend roles, freelance design work, and good conversations about product and interaction design. Based in Kerala with availability in the UAE.