Harsh Singh Chauhan

Lead MERN Engineer

https://www.opentalent.in/harsh-singh-chauhan

Gwalior, Madhya Pradesh, IndiaMember since February 18, 2026

Key Strengths

Strong academic background in B.Tech (AI & ML).
Demonstrated foundational MERN stack knowledge (81% on intern-level test).
Practical project experience in AI/ML, Python, OpenCV, and full-stack development (FitBot, Virtual Mouse, Smart Attendance System).
Role match is very low due to '0' years of experience and intern-level skills for a 'Lead MERN Engineer' position.

Skill Analysis

MERN Stack Development

★★★★★

81%

Candidate achieved 81% on an intern-level MERN assessment, indicating a solid grasp of fundamental MERN technologies. However, this score and test level are not commensurate with a Lead Engineer role.

Node.jsJavaScriptReactNoSQLMongoDBCSSSassWeb DevelopmentFull Stack Fundamentals

Strengths

Demonstrated strong foundational knowledge in core MERN stack components.
Proficient in JavaScript, Node.js, and React for front-end and back-end development.
Understands database concepts with NoSQL and MongoDB.
Familiar with styling technologies like CSS and Sass.

Limitations

Assessment was at an 'Intern' level, not indicative of 'Lead' level expertise.
Specific areas for improvement within the MERN stack are not detailed in the report.
Lack of assessment on advanced MERN concepts (e.g., performance optimization, security, scalability) required for a Lead role.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 46% indicates significant areas for development in logical reasoning, work attitude, stress handling, and team collaboration. These aspects are crucial for cultural alignment and effective functioning within a senior team, suggesting a potential mismatch without substantial development.

Soft Skills & Operational Fit

The candidate's psychometric assessment score of 46% suggests potential deficiencies in critical areas such as logical reasoning, work attitude, stress handling, and team collaboration, which are essential for a Lead Engineer role. This indicates a potential risk for operational fit and leadership effectiveness.

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Assessing your cultural and operational fit

Key Strengths

Strong academic background in B.Tech (AI & ML).
Demonstrated foundational MERN stack knowledge (81% on intern-level test).
Practical project experience in AI/ML, Python, OpenCV, and full-stack development (FitBot, Virtual Mouse, Smart Attendance System).
Role match is very low due to '0' years of experience and intern-level skills for a 'Lead MERN Engineer' position.

Skill Analysis

MERN Stack Development

★★★★★

81%

Node.jsJavaScriptReactNoSQLMongoDBCSSSassWeb DevelopmentFull Stack Fundamentals

Strengths

Demonstrated strong foundational knowledge in core MERN stack components.
Proficient in JavaScript, Node.js, and React for front-end and back-end development.
Understands database concepts with NoSQL and MongoDB.
Familiar with styling technologies like CSS and Sass.

Limitations

Assessment was at an 'Intern' level, not indicative of 'Lead' level expertise.
Specific areas for improvement within the MERN stack are not detailed in the report.
Lack of assessment on advanced MERN concepts (e.g., performance optimization, security, scalability) required for a Lead role.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Harsh Singh Chauhan

Key Strengths

Skill Analysis

MERN Stack Development

Cultural & Operational Fit

Skills

Experience

Key Strengths

Skill Analysis

MERN Stack Development

Cultural & Operational Fit