Chinmay Pradhan

GITA autonomous college

Angul District, Odisha, India

Since February 20, 2026

About

I’m a MERN stack developer focused on building real, working products—not just tutorials. I’ve built full-stack applications with authentication, REST APIs, and database-driven features using MongoDB, Express, React, and Node.js. Recently, I’ve been working on projects like a Second Brain app and a blogging platform, where I handled backend architecture, API design, and frontend integration. I focus on writing clean, scalable code and understanding how systems work end-to-end. I’m actively improving my problem-solving skills and backend fundamentals, and I’m looking for an opportunity where I can contribute to real projects, learn fast, and grow as a developer.

Skills

Node.jsMongoDBReact.jsExpress.JsNext.jsApi IntegrationsRestful ApiBackendDesign SystemstypescriptJavaScript

Education

GITA autonomous college

Master of Computer Applications (MCA) · Computer Science

June 30, 2024 – April 6, 2026

Projects

Resumix

October 16, 2025 – April 17, 2026

Converts resume PDFs into live portfolio websites with customizable layouts, built using Next.js, TypeScript, and MongoDB.

View Project

Key Strengths

Candidate has initiated personal projects (Resumix, Second Brain) utilizing Next.js, TypeScript, Node.js, and MongoDB, demonstrating proactive learning and practical application of MERN stack technologies.
Resume indicates exposure to modern frontend (Next.js, Tailwind CSS) and backend (GraphQL, JWT, MongoDB Atlas features) technologies, which are relevant to the MERN stack.
Experience in a freelance capacity and an internship (though future-dated) suggests an eagerness to gain real-world experience and contribute to projects.
The target role 'Lead MERN Engineer' is a significant mismatch for a candidate with an 'experienceLevel' of '0' and current assessment scores. The candidate's profile aligns more with an entry-level or junior developer role, not a lead position requiring extensive experience and proven technical leadership.

Skill Analysis

MERN Stack (Intern Level)

★★★★★

56%

The candidate achieved 56% on the MERN Intern test, indicating a basic grasp of the technologies but significant room for improvement to meet even intern-level expectations, let alone a lead role.

javascriptcssjsnode.jsreactSassNoSQLMongoDB

Strengths

Demonstrates a foundational understanding of core MERN components including JavaScript, Node.js, React, and MongoDB.
Possesses basic knowledge of related web technologies such as CSS and Sass.

Limitations

Significant gaps in MERN stack proficiency, indicated by a 56% score, suggesting a lack of depth in key areas.
May struggle with advanced concepts, performance optimization, or complex problem-solving within the MERN ecosystem.
Limited understanding of best practices or architectural patterns for scalable MERN applications.

Technical Problem Solving & Implementation

★★★

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 57% indicates a moderate cultural fit. While the candidate may possess some positive attributes, there are likely areas where their alignment with desired work attitudes, stress handling, or team collaboration styles could be improved. Further assessment would be needed to determine specific areas of strength or concern for cultural integration.

Soft Skills & Operational Fit

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