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Laavanya GoelLG
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Laavanya Goel

@laavanyagoel

I build responsive React and Node.js applications with reliable APIs, testing, and scalable frontend components.

India
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What I'm looking for

I'm looking to build responsive, reliable web applications, collaborate with product, UX, and QA teams, and contribute across React, Node.js, REST APIs, testing, and feature delivery.

I've built responsive React.js interfaces and delivered major feature releases at Capgemini, improving load times by up to 20% across desktop and mobile platforms.

I investigated and resolved 30+ code defects through code reviews with ESLint and SonarQube, reducing technical debt and improving maintainability. I also coordinated with product managers, UX designers, and QA engineers to define scope, set sprint milestones, and deliver on schedule.

At Cadence Infotech, I integrated RESTful APIs, managed frontend state with Redux, and developed reusable React components that improved frontend development efficiency by 15%. I created automated unit, integration, and REST API test suites using Jest, Supertest, and Postman to support reliable service communication and data integrity.

I've also built full-stack and single-page projects using React.js, Node.js, Express.js, and MongoDB, including an e-commerce bookstore designed for 500+ concurrent users and a social media application for 200+ beta testers.

Experience

Work history, roles, and key accomplishments

CI

Software Developer

Cadence Infotech

Mar 2026 - Jul 2026 (4 months)

Integrated RESTful APIs and managed state with Redux, facilitating seamless data flow between frontend components and backend services. Developed and deployed reusable React components, improving frontend development efficiency by 15% and standardizing UI elements across multiple modules.

Education

Degrees, certifications, and relevant coursework

Inderprastha Engineering College logoIC

Inderprastha Engineering College

B.Tech (Hons.), Computer Science

2019 - 2023

Grade: 79.9%

Pursued a Bachelor of Technology (Honours) in Computer Science from August 2019 to July 2023, achieving 79.9%.

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