ROHAN PANDA

Full Stack Developer with strong MERN and AI skills, actively building scalable web applications.

KIIT University

Simdega, Jharkhand, India

Since April 27, 2026

About

Highly motivated and results-driven B.Tech student with a strong foundation in MERN stack development, Python, and core computer science concepts. Proven ability to build scalable web applications and data-driven solutions, as demonstrated by impactful projects like Wander Lust Vacation Rental Platform and Breast Cancer Detection using Deep Learning. Eager to leverage technical expertise and strong problem-solving skills in a dynamic development environment.

Top Skills

JavaScriptExpress.JsNode.JsGitBootstrap

Skills

JavaC++C++JavaScriptSQLHTMLCSSPythonBootstrapReact.jsNode.JsExpress.JsRest ApisSpring BootMongoDBPostgresqlGitGithubJiraSeleniumPlaywrightPower SystemsData StructuresAlgorithmsAgileMultithreadingTest Driven DevelopmentTensorFlowKeras

Education

KIIT University

B.Tech · Electronics Computer Science Engineering

August 1, 2022 – June 30, 2026

Kashi Sahu College

Class XII

June 1, 2022 – May 31, 2022

Adarsh Vikas Vidyalaya

Class X

June 1, 2020 – May 31, 2020

Projects

Wander Lust Vacation Rental Platform

April 1, 2026 – Present

Engineered scalable server-side architecture using Node.js, Express, and MongoDB with MVC pattern. Implemented 10+ RESTful endpoints supporting listings, authentication, and session control with Passport.js. Enhanced database efficiency through indexing and schema refinement, reducing query execution time by 25%. Developed adaptive UI using HTML, CSS, JavaScript, and Bootstrap, improving engagement by 20%.

Mini-ChatBox Real-Time Chat Application

April 1, 2026 – Present

Built interactive messaging platform supporting concurrent users with RESTful services. Designed efficient data handling leveraging MongoDB, reducing data latency by nearly 18%. Structured modular backend using Express and Node runtime to improve maintainability.

Breast Cancer Detection Using Deep Learning

April 1, 2026 – Present

Developed an automated detection system using Feedforward Neural Network (FNN) to classify tumors with 90%+ accuracy. Utilized Wisconsin Breast Cancer Diagnostic (WBCD) dataset with Z-score standardization and label encoding. Designed deep learning pipeline with ReLU activation, dropout layers, and Sigmoid output for binary classification. Evaluated model performance through Precision, Recall, F1-score, and ROC-AUC metrics.

Simon Says Game

April 1, 2026 – Present

Created browser-based memory challenge using JavaScript for dynamic sequence generation. Designed interface with HTML/CSS, increasing player interaction time by 15%.

Certifications

MERN FullStack Developer

Apna College

April 1, 2026 – Present

Key Strengths

Demonstrated project experience in MERN stack technologies (Node.js, Express, MongoDB, React.js) through projects like 'Wander Lust Vacation Rental Platform' and 'Mini-ChatBox Real-Time Chat Application'.
Familiarity with RESTful API design, authentication (Passport.js), and database optimization techniques (indexing, schema refinement).
Certification in MERN FullStack Development aligns directly with the target 'MERN Internship' role.
Exposure to deep learning concepts in 'Breast Cancer Detection' project indicates analytical and problem-solving capabilities, though not directly MERN-related.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data due to a score of 0 on the psychometric test. No basis for assessment regarding cultural alignment or team dynamics.

Soft Skills & Operational Fit

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