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Sagar GoudaSG
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Sagar Gouda

@sagargouda

Java Full Stack Developer specializing in Spring Boot, REST APIs, SQL, and AWS. Passionate about building scalable web applications.

India
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What I'm looking for

I’m looking for a role where I can build scalable Java/Spring Boot services and efficient APIs end to end, work with AWS and CI/CD, and keep improving through collaboration and performance-focused ownership.

Computer Science Engineering graduate with a strong foundation in Full Stack Development, specializing in Java, Spring Boot, SQL, JavaScript, and AWS. Passionate about designing scalable applications, developing efficient REST APIs, and solving complex technical challenges through clean and maintainable code.

Hands-on experience building real-world projects, including a microservices-based payment processing platform with Spring Boot, Spring Security (JWT), PostgreSQL, and REST APIs, as well as a full-featured blogging platform implementing MVC architecture, authentication, authorization, and CRUD operations. Skilled in both backend development and creating responsive user interfaces using modern web technologies.

Completed a professional internship where I collaborated on UI development, API integration, and technical documentation, contributing to improved application performance and user experience. AWS Certified Cloud Practitioner with a strong problem-solving mindset, demonstrated through solving 800+ coding challenges and consistently strengthening expertise in Data Structures and Algorithms.

Seeking opportunities to contribute as a Software Engineer, Java Developer, or Full Stack Developer while continuously learning, innovating, and delivering impactful software solutions.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

RT

Roland Institute of Technology

Bachelor of Technology, Computer Science and Engineering

2022 - 2026

Grade: CGPA: 8.37 / 10.0

B.Tech in Computer Science and Engineering at Roland Institute of Technology (2022–2026). Final-year project: Phish Catcher, a machine-learning client-side solution to detect and prevent web spoofing attacks in real time by analyzing URLs and webpage features.

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