About
I am a highly skilled front-end developer with experience in creating responsive and visually engaging websites. I have a strong understanding of various technologies and frameworks such as Next.js, Tailwind CSS, and React.js. I am passionate about creating intuitive and user-friendly interfaces that enhance the user experience.
Skills & Expertise (16)
Work Experience
Front-End Developer
Darak Agrived Ventures PVT. LTD.
Oct-2024 - Present
Built responsive UI components with TailwindCSS, achieving 90% cross-device compatibility. Optimized website performance to less than 2s load time using Next.js, scoring 95+ on Core Web Vitals. Developed custom data visualization components for agricultural product listings using Shadcn/UI + Tailwind.
Front-End Developer
Nature Crave
Feb-2025 - Present
Deployed responsive website using Next.js + Tailwind CSS, achieving 95% Google Lighthouse performance. Applied Framer Motion to animate a standing pouch product, creating a lifelike and visually engaging component. Integrated Resend to collect customer emails and messages, automatically forwarding them to the business.
Engineering Intern
Maiti Labs
Feb-2024 - May-2024
Promoted from Software Intern to Engineering Intern within 2 months and led a team of 3 developers. Created 3+ CMS-powered educational web pages enabling users to publish blogs on climate change awareness.
Front-End Developer
Nature Crave
-1-2025 - Present
Responsible for deploying a responsive website using Next.js + Tailwind CSS and integrating Resend to collect customer emails and messages. Also, created custom data visualization components for agricultural product listings using Shadcn/UI + Tailwind.
Education
Bachelor in Electrical and Electronics
2021 - 2025 · India
Bachelor in Electrical and Electronics
2021 - 2025 · India
Certifications
Full Stack Application Template
N/A · Sep 2024
Built a production-ready, end-to-end template to help developers rapidly launch SaaS applications with modern best practices.
DocsNexGen
N/A · Sep 2024
Google Docs-style editor using Next.js 14 + Liveblocks. Integrated Lexical Editor with presence indicators.
Clipboard History
Github · Mar 2025
Resolved tag overflow issues in components handling large datasets and improved the UI/UX of tag rendering.
Derma Analysis
N/A · Mar 2025
Deep learning-based skin disease classification system using Xception CNN, achieving 87% accuracy.
Clipboard History
Github · 2025
Resolved tag overflow issues in components handling large datasets and improved the UI/UX of tag rendering.
