Brayan - Software Engineering Intern

Demonstrated experience with Java (Spring Boot, Microservices).

Demonstrated experience with Node.js.

Demonstrated experience with PHP (Laravel, CodeIgniter).

Demonstrated experience with React.

Demonstrated experience with Vite.

Developed and optimised multi-page full-stack web architectures using Laravel, React, and Node.js.. Structured relational databases and rewrote backend queries, reducing system latency and database load times by up to 40%.. Conducted manual testing and wrote structured bug reports (steps to reproduce, expected vs actual results, screenshots and logs) for client applications before deployment, ensuring regulatory and operational compliance.. Used Postman to test and validate REST API endpoints; leveraged browser DevTools to inspect network requests, debug frontend issues, and verify application behaviour.. Collaborated with cross-functional teams to resolve technical bugs and trained non-technical staff on system operations.

Deliver end-to-end web and mobile solutions for clients across various industries.. Manage full project lifecycle: requirements gathering, architecture design, development, testing, and deployment.. Provide ongoing technical support and system maintenance for deployed applications.

Engineered a secure Java Spring Boot backend infrastructure to process dynamic data pipelines reliably at scale.. Designed and implemented data ingestion and processing pipelines using big data principles to handle high-volume, structured and unstructured datasets.. Applied Python (pandas, numpy) and Jupyter Notebooks for exploratory data analysis and validation of pipeline outputs.. Implemented Docker containerisation to isolate application environments, ensuring data security and zero downtime.. Set up automated backup scripts, CI/CD workflows (GitHub Actions), and logging frameworks to monitor application performance.

Engineered scalable backend infrastructure using Java Spring Boot to build and improve real-world data processing systems. Designed secure data ingestion pipelines using modern technologies and architectural patterns, applying logical thinking to handle complex datasets. Implemented Docker containerization and automated CI/CD workflows, establishing strong DevOps foundations