Amazon Clone
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Summary
Developed a fully responsive, feature-rich e-commerce interface mimicking Amazon, integrating core functionalities like product listing, search, and cart management.
Highly motivated and self-driven Frontend Developer with hands-on experience in building responsive, dynamic web applications using React.JS, TypeScript, JavaScript, and Next.JS. Proven ability to develop scalable UI components and optimize frontend performance, complemented by a foundational understanding of ETL processes and cloud data management from a Data Engineering internship. Eager to leverage strong technical skills and a proactive, Agile-driven approach to deliver high-quality software solutions and achieve project success in a challenging developer role.
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Summary
Developed a fully responsive, feature-rich e-commerce interface mimicking Amazon, integrating core functionalities like product listing, search, and cart management.
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Summary
Created a comprehensive book-selling platform featuring secure user authentication, role-based access, and an integrated payment gateway.
Web Developer Intern
Remote, Virtual, India
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Summary
Led the development of interactive and responsive web applications, enhancing user experience and optimizing frontend performance within an Agile framework.
Highlights
Developed interactive UI components using React.JS and TypeScript, significantly improving user engagement and application responsiveness.
Collaborated effectively with the development team to debug and optimize frontend issues, resulting in a smoother user experience and enhanced code quality.
Applied Agile methodologies and time management techniques across multiple project cycles, enhancing development efficiency and on-time delivery.
Designed, developed, and maintained robust, responsive web applications utilizing HTML, CSS, and JavaScript, ensuring cross-browser compatibility and optimal performance.
Data Engineer Intern
Jaipur, Rajasthan, India
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Summary
Designed and implemented robust ETL data pipelines for large-scale data ingestion and transformation, ensuring data integrity and scalability for cloud-based data solutions.
Highlights
Designed and developed efficient ETL data pipelines for seamless data ingestion and transformation, handling large volumes of diverse data.
Leveraged AWS and Google Cloud platforms to manage and store large datasets, optimizing cloud resource utilization and accessibility.
Built scalable data lakes using Snowflake and BigQuery, conducting performance tuning to enhance query speed and data accessibility.
Validated critical data integrity and meticulously documented ETL processes, establishing a framework for future scalability and reliability.
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Master of Computer Applications (MCA)
Computer Applications
Grade: 6.67/10 CGPA
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Bachelor of Computer Applications (BCA)
Computer Applications
Grade: 7.40/10 CGPA