entry-level Java Full-Stack Developer resume

AkashReddy Asadi

+91-939******* ***************@*****.*** linkedin.com/in/asadi-akash-reddy-651049275 PROFESSIONAL SUMMARY

Computer Science graduate (2025) with internship experience in Java Full Stack Development. Skilled in Java, Spring Boot, SQL, REST APIs, and AWS with strong understanding of OOPS and database design Seeking an entry-level Software Developer role to build scalable applications and contribute to real-time projects. TECHNICAL SKILLS

Programming Languages: Java

Frontend Technologies: HTML5, CSS3

Database: SQL

Framework: Spring Boot

Tools &Platforms: Git, Eclipse, VS Code

Core Concepts: OOPS, REST APIs (Basics), SDLC Basics Soft Skills: Problem Solving, Teamwork, Adaptability, Communication EDUCATION

St.Ann’s College of Engineering & Technology

Bachelors of Technology in Computer Science – 70% 2021 - 2025 Sri Vidya Junior College

Intermediate – 90% 2019 - 2021

EXPERIENCE

Machine Learning intern Codegnan Solutions May 2023 – June 2023

• Developed 4 machine learning models using regression and classification algorithms.

• Performed data preprocessing and analysis to improve model performance.

• Integrated ML models into web applications for real-time insights.

• Collaborated with team members to complete project tasks within deadlines. Full Stack Developer Intern SkillDzire Solutions July 2024 – August 2024

• Developed full-stack web applications using Java and RESTful APIs.

• Designed 3 responsive UI pages using HTML, CSS & ReactJS.

• Integrated backend services with frontend for seamless data flow. Java Full Stack Intern DataValley Jan 2025 - April 2025

• Developed 2+ full-stack web applications using Java, Spring Boot, ReactJS, HTML, CSS.

• Built RESTful APIs using Spring Boot and connected them with frontend applications.

• Designed and optimized SQL database schemas.

• Deployed applications on AWS cloud platform.

CERTIFICATIONS

• Introduction to Internet of Things – NPTEL

• Java Full Stack Certification – Wipro

• Java Program – Data Flair

• AI & ML Workshop – IIT Hyderabad

PROJECT

“A Cloud-Based Tool For Brand Monitoring in Social Network”

• Developed a cloud-based application to monitor brand mentions across social media platforms.

• Implemented sentiment analysis using NLP techniques.

• Designed REST APIs for real-time data processing.

• Deployed the application on AWS for scalability. INTERESTS

• Listening Music

• Reading Books

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