TEJASH MARU

Frontend Engineer (React, Next Js)

Frontend Engineer (React, Next Js) with less than a year in React, Node.js, and AI applications.

XIM University

Bhubaneshwar, Odisha, India

Since April 29, 2026

About

I am currently pursuing a B.Tech in Computer Science at XIM University, with strong interests in web development and artificial intelligence. I am eager to deepen my knowledge in the IT field and continuously explore emerging technologies. I also enjoy connecting with professionals and peers who share similar technical interests and passions.

Top Skills

Next.JsPandasHTML5Responsive Design

Skills

Data StructuresObject Oriented ProgrammingC++C++JavaPythonJavaScriptHTML5CSSNode.JsExpress.JsNext.JsPandasBootstrapTailwind CssNosqlMysqlMongoDBGitCommunicationResponsive DesignPerformance OptimizationMachine LearningXgboostFlaskScikit LearnSQL

Education

XIM University

Bachelors of Technology · Computer Science

August 1, 2022 – Present

O.P Jindal School

Higher Secondary

June 1, 2019 – May 31, 2021

O.P Jindal School

High School

June 1, 2007 – May 31, 2019

Experience

Zidio Development

Summer Intern

May 1, 2025 – August 31, 2025

Projects

Code-Editor with AI feature

April 29, 2026 – Present

Integrated CodeMirror for syntax highlighting and editing in 12 programming languages, with real-time execution having 5+ Active Users. Implemented Firebase Authentication for secure user login and created a file/folder management system with theme customization. Added an AI-powered chatbot using the Google Gemini API to provide coding assistance within the editor.

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DevSphere Blog Platform

April 29, 2026 – Present

Improved editor rendering speed by 30% by minimizing unnecessary re-renders using Redux state management. Implemented complete CRUD operations for blog posts with secure database handling in MongoDB. Built a responsive, user-friendly UI using React Js for creating, editing, and managing blog posts, optimized for performance and scalability.

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Crop Recommendation System

April 29, 2026 – Present

Developed a machine learning-based crop recommendation web application that shows the top 3 crops that can be grown from 22 soil parameters, as well as weather and rainfall data of past 7 days. Implemented multiple ML models including Decision Tree, Random Forest, SVM, Naive Bayes, Logistic Regression, and XGBoost, where XGBoost achieved the highest accuracy of 90%.

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Key Strengths

Demonstrated interest and foundational project experience in Next.js and React, aligning with the target role of Frontend Engineer.
Projects indicate exposure to modern web development concepts including state management (Redux), real-time features, and AI integration (Google Gemini API).
Experience with performance optimization techniques, such as minimizing re-renders and reducing page load times, as noted in project descriptions.
Proactive in building personal projects, showcasing initiative and practical application of learned technologies.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data to assess cultural fit due to a psychometric test score of 0.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit due to a psychometric test score of 0.

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