Machine Learning Engineer, Intern - University of Aberdeen - Scotland, UK
(2025-11)
- Built an end-to-end AI automation pipeline that scrapes course webpages and generates summaries, narration scripts, audio, thumbnails, and YouTube metadata.
- Implemented Python-based data extraction and preprocessing pipelines for NLP and audio generation tasks.
- Developed deep learning TTS systems using CNN-based architectures and Transformers.
- Delivered a solution that reduced 3 months of manual work by a dedicated team to an hour automated process.
- Collaborated cross-functionally to validate output quality and production readiness.
Full Stack Software Developer, Intern - Hogarth Worldwide - Madrid, Spain
(2024-05 - 2024-12)
- Designed and developed user-friendly interfaces using React.js, styled components with Bootstrap and Tailwind CSS.
- Implemented robust server-side logic and RESTful APIs with Node.js and Express.js, contributing to a 5-10% reduction in API latency.
- Optimized database operations and query performance in MySQL, improving overall system efficiency.
- Automated deployment pipelines using Docker containers and orchestrated workflows with Kubernetes.
- Implemented server instances on AWS EC2 and managed APIs on AWS Lambda and API Gateway along with development and hosting on AWS Cloud9.
- Actively implemented DevOps practices with Linux on AWS machines, including setting up CI/CD pipelines with GitHub Actions to streamline development and deployment processes.
- Integrated WordPress for content management, enabling easy client updates and customization reducing client update time by up to 25%.
Web Developer, Intern - Lime Light Renhold AS - Oslo, Norway
(2024-04 - 2024-06)
- Developed responsive websites using HTML5, CSS3, and JavaScript for optimal user experience across devices.
- Enhanced interactivity with jQuery and AJAX, ensuring dynamic content loading.
- Optimized site performance through image compression, lazy loading, and minification techniques.
Artificial Intelligence Developer, Intern - Expertel S.A Proceedit - Barcelona, Spain
(2023-09 - 2024-06)
- Developed and trained machine learning models using TensorFlow and scikit-learn for stock market prediction, with most achieving a 55%-75% accuracy rate in forecasting short-term price movements.
- Deployed server instances on AWS EC2 and managed storage with S3.
- Built and tested GraphQL and REST APIs for seamless data integration.
- Maintained SQL databases on PostgreSQL to optimize data handling and performance.
- Worked in an Agile environment using JIRA and Confluence for task management and documentation.
