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Vijay pradhap SVS
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Vijay pradhap S

@vijaypradhap

MERN stack developer building REST APIs and responsive React apps.

India
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What I'm looking for

I’m looking for a role where I can build and ship MERN-based REST APIs and responsive web apps, collaborate with a team, and keep learning—while contributing to projects that blend software with AI, data, and real-world impact.

I’m a MERN Stack Developer with internship experience focused on backend and full-stack development. I build RESTful APIs and database-driven systems, using Node.js, Express.js, MongoDB, and React, while maintaining a strong foundation in problem-solving, teamwork, and continuous learning.

Through Virtual Internships in Artificial Intelligence and Data Science, I worked on data collection, preprocessing, and exploratory analysis, and built and tested simple machine learning models. I also bring these skills to real projects—such as an object detection (computer vision) project, a full-stack solar energy awareness app with subsidy and savings features, and a media streaming backend with structured content display—so I can deliver practical, user-focused solutions end-to-end.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Gandhigram Rural Institute logoGI

Gandhigram Rural Institute

Master of Computer Applications, Computer Applications

2025 - 2027

Activities and societies: Performed data cleaning, visualization, and exploratory analysis; built and evaluated basic machine learning models.

Pursuing a Master of Computer Application at Gandhigram Rural Institute from 2025 to 2027, with practical coursework in AI, data analytics, and machine learning.

Gandhigram Rural Institute logoGI

Gandhigram Rural Institute

Bachelor of Science, Computer Science

2022 - 2025

Activities and societies: Built and tested simple machine learning models; collaborated with teammates to improve model performance and accuracy.

Earned a B.Sc. in Computer Science at Gandhigram Rural Institute from 2022 to 2025, focusing on applied machine learning and team-based model improvement.

Tech stack

Software and tools used professionally

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