Motivated Master's graduate in Applied Artificial Intelligence with solid foundations in Java development, cloud computing, and problem-solving. Experienced in building REST APIs, full-stack development, and containerized microservices. Adept at working across software layers and eager to contribute to a cloud-native engineering environment. Currently preparing for Microsoft Azure Fundamentals certification. Passionate about collaborative development, continuous learning, and applying DevOps and Agile principles in real-world systems.
•Collaborated with the Enterprise Solution Team to develop and enhance billing software, improving functionality and user experience.
• Assisted in coding and debugging Java applications, ensuring adherence to best practices and coding standards.
• Participated in Agile development processes, attending daily stand-ups and contributing to sprint planning sessions.
• Conducted unit testing and participated in code reviews to maintain high-quality software delivery. • Documented technical specifications and user guides for software features, facilitating knowledge transfer within the team. Engineered Java-based billing software enhancements, driving improved functionality and user experience for enterprise clients.
Languages: Java, Python, HTML/CSS, JavaScript, SQL
Frameworks/Tools: familiar with Nodejs, Express, MongoDB, Git, Docker, Kubernetes, Azure DevOps, Postman
Cloud & DevOps: Microsoft Azure, Azure Blob Storage, Azure App Service, Azure DevOps Pipelines
Databases: MySQL, Firebase
Concepts: OOP, REST APIs, DSA, Software Engineering, Agile/Scrum, CI/CD
AI/ML Tools: TensorFlow, OpenCV, scikit-learn, NumPy, Pandas
Preparing for Microsoft Azure Fundamentals (AZ-900) Certification
Cricket
Problem solving
Travel
Australian Road Sign Classification for Autonomous Vehicles
Achieved 90% accuracy in predicting all road signs correctly in the Australian road sign classification project.