Aspiring Software Engineering Intern with a robust technical foundation in Data Structures, Algorithms, and Object-Oriented Programming (OOP). Proficient in full-stack development using JavaScript, React.js, and Next.js for front-end components, complemented by backend experience in Java, Kotlin, and Spring Boot. Maintains a commitment to producing clean, scalable code through comprehensive unit testing and active participation in peer code reviews within Agile sprint cycles. Builds and deploys RESTful APIs and cloud-integrated solutions while maintaining focus on global accessibility and educational impact. Contributes to cross-functional teams to support large-scale platform enhancements through continuous learning and technical curiosity.
Aspiring Software Engineering Intern with a robust technical foundation in Data Structures, Algorithms, and Object-Oriented Programming (OOP). Proficient in full-stack development using JavaScript, React.js, and Next.js for front-end components, complemented by backend experience in Java, Kotlin, and Spring Boot. Maintains a commitment to producing clean, scalable code through comprehensive unit testing and active participation in peer code reviews within Agile sprint cycles. Builds and deploys RESTful APIs and cloud-integrated solutions while maintaining focus on global accessibility and educational impact. Contributes to cross-functional teams to support large-scale platform enhancements through continuous learning and technical curiosity.
- Developed and implemented responsive user interface components using JavaScript and React.js to support platform digital goals.
- Contributed to the design and coding of backend solutions using Java and Spring Boot while maintaining alignment with engineering standards.
- Participated in daily stand-ups and sprint planning rituals within an Agile environment to support collaborative team delivery.
- Wrote unit and integration tests for code deliveries to ensure alignment with the "Definition of Done" and maintain platform quality.
- Developed a predictive machine learning model using Random Forest algorithms to analyze environmental data, adhering to computer science fundamentals. - Built a high-availability REST API on AWS EC2 using Flask, incorporating monitoring metrics to facilitate proactive troubleshooting.
- Created scalable RESTful APIs and optimized MySQL schemas to support data-driven features for educational management. - Implemented Spring dependency injection and unit testing to build a maintainable architecture, ensuring code quality and streamlining troubleshooting.