Stack Developer Spring Boot

Shaik Mahaboob Basha

Email: *****.******@*****.*** Phone: +91-818******* Location: Bangalore, India

LinkedIn: LinkedIn/In/Mahaboob GitHub: Shaik Mahaboob Basha

Professional Summary

Highly motivated and skilled Java Full Stack Developer with proficiency in Core Java, Spring Boot,

Hibernate, JSP, Servlets, SQL, JavaScript, HTML, CSS, and Testing (Manual & Automation). Strong

problem-solving and analytical skills with a commitment to delivering high-quality, efficient, and

scalable software solutions. Passionate about continuous learning and staying current with emerging

technologies.

Education

Bachelor of Technology in Computer Science and Engineering

Siddhartha Educational Academy Group of Institutions — June 2018 – July 2022

Percentage: 66%

Intermediate (MPC)

Narayana Junior College — May 2016 – April 2018

Percentage: 72%

Secondary School Certificate (SSC)

St. Antony’s English Medium High School — June 2015 – May 2016

Percentage: 60%

Technical Skills

• Programming Languages: Java, Java 8, JavaScript, SQL, Data Structures

• Web Technologies: HTML, CSS, XML, Threading

• Java Technologies: JSP, Servlet, JMS, JSF

• Frameworks: J2EE, Spring, Spring Boot, Spring MVC, Hibernate, JPA

• Databases: MySQL, SQLite, RDBMS

• Version Control: Git

• Development Tools: NetBeans, Spring Tool Suite (STS)

• Web/Application Servers: Apache Tomcat, Postman, REST API

Projects

Automated Food Image Classification Using Deep Learning – May 2022 – June 2022

• Food image classification is an emerging research field due to its increasing benefits in

the health and medical sectors.

• Even with fewer parameters, Squeeze Net is able to achieve quite a good accuracy of 77.20%.

Higher accuracy of food image classification is further achieved by extracting complex.

• The performance of automatic food image classification is further improved by the proposed VGG-16

network.

• Due to increased network depth, proposed VGG-16 has achieved significant improvement in

accuracy up to 85%.

Food APP – Dec 2023 – March 2024

• Established Food App to facilitate users in exploring global cuisines, enhancing user

engagement through an intuitive interface.

• Employed backend services using Java Spring Framework, optimizing response time by 25%

and ensuring robust data management.

• Designed the front-end interface utilizing HTML and CSS, achieving a responsive design

that improved mobile accessibility.

• Integrated a user feedback system, resulting in a 20% increase in customer satisfaction ratings

and driving iterative improvements based on real-time data.

Certifications & Training

• Completed training in Software Development & Software Testing.

• Full Stack Developer training at J Spiders, Bangalore.

Hobbies & Interests

• Playing cricket and outdoor games

• Music & movies

• Exploring data visualization projects

Declaration

I hereby declare that the above information is true and correct to the best of my knowledge and

belief.

Place: Bangalore

Signature: Shaik Mahaboob Basha

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