Passionate about building secure, scalable, and high-performance backend applications using Java and Spring Boot while ensuring software quality through manual and automation testing.
- 💼 Java Backend Developer with hands-on experience in Spring Boot & Microservices.
- 🧪 Associate Software Development Engineer in Testing (ASDET).
- 💳 Developed Stripe & PayPal Payment Integration Systems.
- 🔗 Experienced in REST API Development & API Testing.
- ☁️ Skilled in AWS, Docker, Redis, Apache Kafka & MySQL.
- 🤝 Strong team player with Agile Scrum experience.
| 📂 Category | 💡 Technologies |
|---|---|
| 💻 Programming Languages | Java, Python, C, PHP, TypeScript |
| ⚙️ Backend Technologies | Spring, Spring Boot, Spring JDBC, REST APIs, Microservices, Node.js, Apache Tomcat |
| 🌐 Frontend Technologies | HTML5, CSS3, JavaScript, Bootstrap |
| 🗄️ Database & Messaging | MySQL, Redis, Apache Kafka |
| ☁️ Cloud & DevOps | AWS, Docker, Maven |
| 🧪 Testing | Selenium WebDriver, TestNG, JUnit, Mockito, Postman, Manual Testing, API Testing, Functional Testing, Regression Testing |
| 🔐 Security | OAuth 2.0, Basic Authentication, HMAC-SHA256, Access Token Management |
| 🛠️ Tools & IDEs | Git, GitHub, Bitbucket, SourceTree, Eclipse, VS Code, DBeaver, Jira, MobaXterm |
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💳 Java Backend Developer Trainee | HulkHire (Feb 2026 – May 2026)
Developed secure payment integration systems using Java, Spring Boot, Microservices, REST APIs, Redis, Kafka, and AWS. -
🧪 Associate Software Development Engineer in Testing (ASDET) | Qualizeal (Jul 2024 – Dec 2024)
Automated software testing and validated web applications using Selenium WebDriver, Java, TestNG, Postman, and Agile methodologies.
Developed a secure Spring Boot microservices-based payment integration system with OAuth 2.0 authentication, Redis caching, Kafka messaging, and AWS deployment.
Built a secure Stripe payment gateway using Spring Boot, REST APIs, webhook integration, HMAC-SHA256 authentication, and centralized exception handling.
Designed an AI-powered road monitoring system using YOLOv8, CNN, and OpenCV for real-time pothole detection and GPS-based alert notifications.
Developed a real-time deep learning application using CNN and OpenCV for facial emotion recognition and gender prediction.
- 🎓 Programming in Java (Elite) – NPTEL
- 📜 Software Testing – Coursera
- 📜 Black Box & White Box Testing – Coursera
- 🌐 CCNAv7: Introduction to Networks – Cisco
- 📧 Email: disneypallavi@gmail.com
- 💼 LinkedIn: www.linkedin.com/in/bezawada-disney-pallavi
- 💻 GitHub: github.com/Disney35
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Let's connect, collaborate, and build something amazing together. 🚀