ANANT GUPTA

Amoha Codes

Lucknow, Uttar Pradesh, India

Since March 13, 2026

Skills

MERN StackFull-stackPythonJavaMysql

Experience

Amoha Codes

Full Stack Developer

February 1, 2026 – Present

Prefer Coding Secret

MERN Stack Web Development Intern

May 1, 2025 – July 1, 2025

Digital Bhem

Artificial Intelligence Intern

February 1, 2025 – March 1, 2025

Key Strengths

Strong foundational MERN stack technical skills, as evidenced by a 95% score on the 'Lead MERN Developer' assessment.
Practical experience in MERN stack development through internships and a current Full Stack Developer role, including API development and frontend management.
Demonstrated ability to quickly learn and apply new technologies (e.g., AI internship, various certifications).
The candidate's technical proficiency in MERN is a strength for a MERN developer role, but not directly for a Lead role without further evidence of leadership and architectural experience.

Skill Analysis

MERN Stack Development

★★★★★

95%

Achieved a high score of 95% on the 'Lead MERN Developer' assessment, indicating strong technical competency across key MERN stack components and development practices.

Node.jsReactMongoDBExpress.jsJavaScriptReact RouterClass ComponentsEnzyme

Strengths

Demonstrated strong proficiency in core MERN stack technologies.
Excellent understanding of Node.js, React, and MongoDB principles.
Solid grasp of JavaScript and related web development concepts.

Limitations

No specific weaknesses identified from the high score, but the test might not cover advanced system design or architectural patterns relevant for a Lead role.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 51% suggests an average alignment with typical workplace cultural expectations regarding logical reasoning, work attitude, stress handling, and team collaboration. Further assessment during interviews would be crucial to fully understand cultural fit and leadership potential.

Soft Skills & Operational Fit

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Assessing your cultural and operational fit