Dynamic and enthusiastic computer Science graduate seeking a challenging role as a software engineer within the Enterprise risk solutions team eager to contribute to the design,enchantment,and development of real-time transactional fraud detection Engines in an agile environment while leveraging academic knowledge and passion for Technology.
Proficient in programming languages such as Java, Python, and JavaScript
Strong understanding of code quality initiatives and unit testing frameworks
Experience with scripting languages like Bash and Python
Knowledgeable in Linux and Windows operating systems
Familiarity with RESTful APIs and web services
Exposure to NoSQL databases like MongoDB
Basic understanding of containerization using Docker
Interested in exploring Machine Learning and Deep Learning concepts
Excellent communication and teamwork skills
Collaborated with a team to create an online shopping application using HTML, CSS, JavaScript, and Node.js.
Integrated payment processing and user authentication features.
Implemented database functionality using MongoDB for storing product information and user profiles.
Tested and debugged the application to ensure smooth functionality across different browsers.
This application leverages modern Technologies and Programming languages to deliver a feature-rich and user-friendly movie review platform using reactjs, a popular java script library known for its flexibility and efficiency in building dynamic user interface in front end development and coming to backend development we used spring Boot a powerfull framework for building java-based applications and we utilize mongoDB as our database solution.