RUSHIL REDDY GUJJULA

Matrusri Engineering College

Hyderābād, Telangana, India

Since April 20, 2026

About

Hi, I’m Rushil Reddy Gujjula, a final-year Computer Science and Engineering student at Matrusri Engineering College with a CGPA of 8.3; I’m a Full-Stack Developer specializing in the MERN stack with a strong focus on backend development and problem-solving, and I built an AI Chat Web App using the Google Gemini API and MongoDB for intelligent responses and secure data handling; during my internship at Novegrapix, I developed a real-time customer support system using Socket.io and Mapbox while optimizing backend performance; I also have a strong foundation in core CS concepts, demonstrated by building a CPU Scheduling Simulator, and I’m comfortable with Linux and Git; I’m now looking to start my career where I can contribute to building scalable, real-world applications and continue growing as a developer.

Skills

Node.jsReact.jsTeam LeadershipBackendResponsive DesignProblem SolvingHTML5Web DevelopersPythonSQLGit-GitHubFront-endDevOpsLeadershipPostmanTensorFlowAWSRest ApiMongoDBAPI DesignWeb DesignersJavaScriptMysqlCSSHTMLFull-stackDecision MakingLLM applicationsPandas, NumPyAI/ML Frameworks

Education

Matrusri Engineering College

B.E · Computer Science and Engineering

November 10, 2022 – May 30, 2026

Key Strengths

Demonstrated foundational understanding of MERN stack development (Node.js, Express.js, MongoDB, React.js) through academic projects and a brief internship.
Experience in building RESTful APIs and integrating third-party services (Mapbox, Google Gemini API).
Familiarity with version control systems (Git, GitHub) and collaborative development environments.
Exposure to secure authentication mechanisms (Firebase Google Sign-In).
Stated interest in DevOps automation (CI/CD pipelines) in the profile.
However, the candidate's current experience level (student until 2026 with a 4-month internship) is significantly below the requirements for a 'Lead Node.js Developer' role.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 is a critical concern for cultural fit, as it directly evaluates aspects like work attitude, stress handling, and team collaboration. This score suggests a high risk regarding the candidate's ability to integrate effectively into a professional team environment and handle workplace dynamics.

Soft Skills & Operational Fit

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Key Strengths

Demonstrated foundational understanding of MERN stack development (Node.js, Express.js, MongoDB, React.js) through academic projects and a brief internship.
Experience in building RESTful APIs and integrating third-party services (Mapbox, Google Gemini API).
Familiarity with version control systems (Git, GitHub) and collaborative development environments.
Exposure to secure authentication mechanisms (Firebase Google Sign-In).
Stated interest in DevOps automation (CI/CD pipelines) in the profile.
However, the candidate's current experience level (student until 2026 with a 4-month internship) is significantly below the requirements for a 'Lead Node.js Developer' role.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit