Byom Nath Jha

Lead MERN Engineer

https://www.opentalent.in/byom-nath-jha

Raipur , indiaMember since September 23, 2025

Key Strengths

Foundational understanding of MERN stack components (React, Node.js, MongoDB) at an intern/junior level.
Experience with modern frontend technologies (React, Next.js, TailwindCSS, Framer Motion) from projects and current role.
Exposure to backend development concepts (Node.js, Express.js, RESTful APIs, JWT) and databases (MySQL, MongoDB) from resume skills.
Good communication skills (English test score of 77%).
Demonstrated ability to learn and apply new technologies (AI, Data Analysis internships, various project tech stacks).
The candidate is a very junior professional (experience level 0, still pursuing B.Tech, current role started July 2025).
Performance on the 'Lead MERN Developer' test (15%) indicates a significant lack of the advanced technical depth and leadership capabilities required for a 'Lead MERN Engineer' role.
The candidate's profile is a severe mismatch for a lead position; they are currently at an entry-level or junior stage of their career.

Skill Analysis

MERN Stack Leadership & Advanced Concepts

★★★★★

15%

The candidate scored very low (15%) on a test explicitly designed for a 'Lead MERN Developer' role, indicating a fundamental lack of advanced knowledge and practical application required for a leadership position across the MERN stack.

reactReact RouterClass Componentsnode.jsMongoEnzymejavascriptnodejs

Limitations

Significant gaps in advanced React concepts, including React Router and Class Components.
Limited understanding of Node.js and MongoDB for lead-level scenarios.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 46.6% suggests potential challenges in areas like logical reasoning, work attitude, stress handling, and team collaboration, which are critical for cultural fit and effective team integration. While the candidate's extracurricular activities (President of Red Hat Club, organizing workshops, mentoring) indicate a proactive and community-oriented mindset, these positive indicators are significantly undermined by the low psychometric assessment. Further investigation into these areas is crucial to determine cultural fit.

Soft Skills & Operational Fit

The psychometric test score (46.6%) indicates potential concerns regarding logical reasoning, work attitude, stress handling, and team collaboration. While the resume mentions collaboration in project descriptions and leadership in extracurriculars (Red Hat Club President), the low psychometric score suggests these areas need further validation.

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Assessing your cultural and operational fit

Experience

Crow Hub

Front End Engineer

July 1, 2025 – Present

CollegeTips.in

AI Intern

July 1, 2024 – August 1, 2024

Edulyt India

Data Analyst

June 1, 2024 – August 1, 2024

Key Strengths

Foundational understanding of MERN stack components (React, Node.js, MongoDB) at an intern/junior level.
Experience with modern frontend technologies (React, Next.js, TailwindCSS, Framer Motion) from projects and current role.
Exposure to backend development concepts (Node.js, Express.js, RESTful APIs, JWT) and databases (MySQL, MongoDB) from resume skills.
Good communication skills (English test score of 77%).
Demonstrated ability to learn and apply new technologies (AI, Data Analysis internships, various project tech stacks).
The candidate is a very junior professional (experience level 0, still pursuing B.Tech, current role started July 2025).
Performance on the 'Lead MERN Developer' test (15%) indicates a significant lack of the advanced technical depth and leadership capabilities required for a 'Lead MERN Engineer' role.
The candidate's profile is a severe mismatch for a lead position; they are currently at an entry-level or junior stage of their career.

Skill Analysis

MERN Stack Leadership & Advanced Concepts

★★★★★

15%

reactReact RouterClass Componentsnode.jsMongoEnzymejavascriptnodejs

Limitations

Significant gaps in advanced React concepts, including React Router and Class Components.
Limited understanding of Node.js and MongoDB for lead-level scenarios.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

MERN Stack Fundamentals

★★★★★

70%

The candidate achieved a respectable 70% on an intern-level MERN test, demonstrating a foundational grasp of key technologies like React, Node.js, and MongoDB, suitable for an entry-level position.

NoSQLreactnode.jsjsSasscssMongoDBjavascript

Strengths

Solid foundational understanding of core MERN components like React, Node.js, and MongoDB.
Competence in basic JavaScript and front-end styling (CSS, Sass).
Demonstrated ability to grasp intern-level MERN concepts.

Limitations

While performing adequately for an intern role, the score of 70% suggests some areas for improvement even at a foundational level.
Specific weaknesses cannot be identified without question-level breakdown, but general areas might include deeper understanding of NoSQL queries or advanced React patterns.