Ayush Chandoriya

Lead MERN Engineer

https://www.opentalent.in/ayush-chandoriya

Wardha, Maharashtra, IndiaMember since April 7, 2026

Key Strengths

The candidate's resume indicates exposure to MERN stack technologies through academic projects, aligning with the target role's technology stack.
Familiarity with the concept of RESTful APIs and authentication systems (JWT-based) is mentioned in project descriptions.
Experience with Unreal Engine 5 Blueprints is noted, though not directly relevant to the MERN Engineer role.
With an experience level of '0' and assessment scores of 0% on a general technical test and 44% on an intern-level MERN test, there is a significant mismatch with the 'Lead' level expectations. The candidate demonstrates only a very nascent, foundational understanding, far from the expertise required for a senior position.

Skill Analysis

MERN Stack Development

★★★★★

44%

The candidate scored 44% on an 'Intern' level MERN test, indicating a foundational understanding but significant gaps in practical application and problem-solving for even basic MERN concepts. This score is well below expectations for a 'Lead MERN Engineer' role.

jsMongoDBreactcssjavascriptSassnode.jsNoSQL

Strengths

Demonstrated basic familiarity with MERN stack components and concepts.

Limitations

Limited proficiency in JavaScript and Node.js backend development.
Weak understanding of React.js for frontend implementation.
Insufficient knowledge of MongoDB and NoSQL database operations.
Struggles with integrating different MERN components effectively.
Significant gaps in practical application and problem-solving for MERN concepts.

General Technical Problem Solving

★★★★

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric assessment score of 50.2% suggests an average alignment with typical workplace expectations regarding logical reasoning, work attitude, stress handling, and team collaboration. While not critically low, it indicates areas that may require attention to ensure a strong cultural fit, especially for a leadership role that demands robust interpersonal and problem-solving skills under pressure.

Soft Skills & Operational Fit

The candidate demonstrates moderate English communication skills (55%), indicating potential for improvement in clarity and professional language usage. Psychometric results (50.2%) suggest average logical reasoning, work attitude, stress handling, and team collaboration, which may require further development for a leadership position.

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