Entry-Level Full Stack Software Engineer

POOJA S

Mobile: +919********* Email: *************@*****.*** GitHub: github.com/Pooja1166 LinkedIn: linkedin.com/in/Pooja23S PROFESSIONAL SUMMARY

Recent B.Tech Computer Science Engineering graduate (CGPA: 8.0) with a strong foundation in Java, SQL, and Object-Oriented Programming. Hands-on experience across the full software development lifecycle - design, coding, testing, and debugging - built through two internships and an end-to-end healthcare AI project. Seeking an Associate Software Engineer role to build and maintain reliable software applications. TECHNICAL SKILLS

ProgrammingLanguages: Java, SQL

Data Structures & Algorithms: Arrays, Strings, Linked Lists, Recursion, Sorting Database: MySQL

Web Technologies: HTML, CSS, JavaScript

Tools& Version Control: Git, GitHub

Core Concepts: Object-Oriented Programming (OOP), Software Development Life Cycle (SDLC) PROFESSIONAL EXPERIENCE

Java Intern - Slash Mark

● Developed Java applications applying Object-Oriented Programming principles across multiple modules.

● Implemented exceptionhandling, the Collections framework, and file handling to build reliable application logic.

● Debugged, tested, and optimized applications following standard SDLC practices to improve functionality and performance.

● Used Git and GitHub for source control and version management throughout development tasks. Web Designing Intern - Assistive Infotech Pvt. Ltd.

● Developed responsive web pages using HTML, CSS, and JavaScript.

● Implemented formvalidation and improved user interface functionality.

● Tested and debugged web pages across multiple browsers to ensure performance and reliability.

● Collaborated with teammemberstotranslate requirements into user-friendly solutions. ACADEMICPROJECT

Integrating Tumour Segmentation and Multimodal MRI in Deep Learning Modelsfor Glioma Prognosis

● Developed an AI-based medical imaging system for automated glioma survival risk prediction using multimodal MRI data (T1, T1ce, T2, FLAIR).

● Designed a segmentation-guided framework to improve tumour localization and survival risk prediction accuracy.

● Performed MRI image preprocessing, feature extraction, and model evaluation to enhance prediction performance.

● Followed complete SDLC practices - architecture design, UML documentation, implementation, and testing - to deliver an end-to-end healthcare application.

EDUCATION

B.Tech in Computer Science and Engineering - Siddharth Institute of Engineering and Technology CERTIFICATIONS

● Introduction to Industry 4.0 and Industrial Internet of Things (IIoT) - NPTEL

Contact this candidate