Shray Gupta
Lead MERN EngineerGLA University Mathura
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Full Stack Developer with 9 months of experience specializing in MERN stack, with additional experience in Python, Java and Next.js for building scalable web applications. Focused on leveraging AI and automation to reduce manual effort and improve system efficiency, including building LLM-powered workflows with n8n and Groq API. Previously interned at Samsung Electronics, working on automation, debugging, and maintaining 99.75% application up-time.
GLA University Mathura
B.Tech · Computer Science
June 30, 2021 – May 31, 2025
Achieved a 70% score on the MERN Intern test, indicating a solid foundational grasp of the MERN stack, suitable for an intern or entry-level position. However, this score alone is insufficient for a lead role.
Strengths
Limitations
Cultural Fit Analysis
The psychometric test score of 58% suggests a moderate cultural fit. This score indicates that while the candidate may possess some positive attributes, there might be areas related to work attitude, stress handling, or team collaboration that require further assessment or development to align with a strong cultural fit for a senior role.
Soft Skills & Operational Fit
The psychometric test score of 58% indicates an average operational fit, with potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration. While the resume lists self-proclaimed soft skills like 'Leadership' and 'Adaptive', these are not strongly validated by the assessment data.