Parth Dwivedi

Full Stack Engineer

Kanpur, Uttar Pradesh, India2 yrs experience

Most Likely To SwitchAI Enabled

Key Highlights

Full Stack Developer with expertise in modern frameworks.
Enhanced user engagement by 30% through UI upgrades.
Improved API response time by 25% in collaborative projects.

Stackforce AI infers this person is a Full Stack Developer with a focus on Web Development and User Experience.

Contact

Skills

Core Skills

Frontend DevelopmentWeb DevelopmentBackend Development

Other Skills

Cascading Style Sheets (CSS)CommunicationFramer MotionGitHubGoogle GeminiHTMLHTML5JavaJavaScriptLeadershipMongoDBNode.jsREST APIsReact.jsRedux.js

About

I am a Full Stack Developer with a deep understanding of both front-end and back-end technologies. My expertise spans modern development frameworks and tools, allowing me to build robust, scalable, and secure applications. Frontend Development: Proficient in React.js and CSS Framework, I craft interactive and user-friendly interfaces that enhance user experience and engagement. Backend Development: Experienced with Node.js, Express.js, and Spring Boot, I develop powerful and efficient server-side applications. Database Management: Skilled in both SQL and NoSQL databases, including MongoDB, ensuring data integrity and performance.

Experience

2 yrs

Total Experience

8 mos

Average Tenure

1 yr 1 mo

Current Experience

Quartz technologies

Full-stack Developer

Apr 2025 – Present · 1 yr 1 mo · Kanpur, Uttar Pradesh, India · On-site

Bit galaxy

Web Developer

Mar 2024 – Jun 2024 · 3 mos · Remote

Upgrade and maintained responsive UIs using React.js, Tailwind CSS, and Framer Motion, enhancing user
engagement by 30%.
Integrated features like Image Carousel, Interactive Animations, Dark Mode, and a FAQ Section to
boost user experience and retention.
Built and created 4+ additional pages with seamless client-side routing using React Router, improving site
navigation and structure.
Collaborated in an agile, team environment to redesign REST APIs, resulting in a 25% improvement in
project efficiency and API response time