Himesh Srivastava

Noida, Uttar Pradesh, India

Since April 7, 2026

About

I’m a final-year B.Tech IT student, and I’ve gained hands-on experience through internships as well as personal projects. I worked as a Full Stack Developer Intern at Chetan Travels, where I was involved in building and improving web features, which gave me practical exposure to real client-based work. I also worked at Deuglo Infotech, where I contributed to developing responsive websites and improving performance and user experience. Along with this, I’ve built full-stack projects like a real-time chat application, an e-commerce platform, and a mentorship system using React, Node.js, and MongoDB. I’ve also explored machine learning by building a handwritten gesture recognition system using TensorFlow and OpenCV. Overall, I enjoy working on real-world applications and continuously improving my skills through practical experience.

Skills

Next.JsReact.jsNode.jsExpressMongoDBTailwind CssFull-stack

Key Strengths

Possesses foundational knowledge and practical project experience in the MERN stack (React, Node.js, Express, MongoDB).
Demonstrated ability to implement real-time features (Socket.IO) and secure authentication (JWT).
Proficient in building responsive user interfaces using Tailwind CSS.
Exposure to machine learning concepts and tools (TensorFlow, OpenCV) adds a unique dimension.
Project portfolio indicates capability to develop and deploy full-stack web applications.

Skill Analysis

MERN Stack Development

★★★★★

77%

Achieved a high score on an intern-level MERN stack assessment, indicating a solid grasp of core technologies relevant to web development fundamentals.

NoSQLcssMongoDBjsjavascriptSassnode.jsreactExpress.jsJWTTailwind CSS

Strengths

Strong foundational understanding of MERN stack components.
Demonstrated proficiency in JavaScript, Node.js, React, and MongoDB.
Capable of building full-stack applications as evidenced by project work (Chat, Mentorship, E-commerce).
Experience with real-time features using Socket.IO and secure authentication with JWT.

Limitations

The 'Intern' level of the test suggests that advanced architectural patterns, performance optimizations, and complex system design aspects of MERN might not have been thoroughly evaluated.
Lack of specific data from the test to assess deep understanding of scalability, error handling, or advanced framework features.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 63% suggests an average cultural fit. While there are no explicit red flags, it indicates potential areas for growth in aspects like stress management or advanced team dynamics, which are critical for senior-level contributions.

Soft Skills & Operational Fit

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