Satwik Mohanty
Node JS DeveloperAI 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 Software Engineer with strong expertise in building scalable, high-performance web systems using Next.js, Node.js, and TypeScript. I specialize in system design, microservices architecture, and real-time applications using WebSockets and event-driven patterns. I have built production-grade projects like AI-powered financial systems and healthcare platforms, focusing on performance optimization, clean architecture, and reliability. Passionate about solving complex engineering problems and continuously improving system efficiency.
DRIEMS University
B.Tech · Computer science
October 19, 2022 – May 4, 2026
The candidate scored 0% on the general technical assessment, indicating either a complete lack of understanding in the evaluated areas or that the test was not attempted/submitted correctly. This significantly impacts the overall technical assessment.
Strengths
Limitations
Cultural Fit Analysis
The psychometric test score of 70% indicates a generally positive but not outstanding cultural fit. Areas like work attitude and team collaboration are assessed as acceptable. The consistent GitHub contributions mentioned in achievements suggest discipline and a collaborative mindset within a development context. Further assessment in an interview would be beneficial to fully gauge cultural alignment.
Soft Skills & Operational Fit
The psychometric test score of 70% suggests an acceptable baseline in logical reasoning, work attitude, stress handling, and team collaboration. The candidate's competitive programming achievements imply strong analytical and problem-solving drive, which is a valuable operational trait. Project descriptions indicate an ability to work on complex systems, suggesting good organizational skills and attention to detail.
The candidate demonstrated foundational understanding of MERN stack components, achieving 65% on the intern-level assessment. This indicates a grasp of core concepts but suggests areas for deeper proficiency.
Strengths
Limitations