Abdelrahman Gadelmoula

Collaborated with the Chief Technology Office to engineer developer tooling that enhances productivity across teams.
Led the design and development of an JSON-like template language using React.js and Redux, enabling automated UI generation for application overview pages, significantly reducing manual effort and errors while increasing efficiency.
Demonstrated agility and adaptability by continuously enhancing the developed language, iteratively adding new UI features based on evolving demands and mentor feedback, all while continuously learning a new tech stack.
Developed backend APIs using the Java Sprinboot framework and ensured seamless integration into the application.
Collaborated with team members using version control systems such as Git to organize modifications and assign tasks.
Actively participated in daily Agile stand-up meetings, and developed a keen understanding of the Agile methology.

Led the development of a model predicting sleep quality from time-series data using Sklearn, Pandas, and Numpy.
Preprocessed and tranformed data into a more verbose numerical representation more suitable for model training.
Optimized the preprocessing time from 30 minutes to 2 minutes by designing efficient code that optimizes cache usage.
Engineered a flexible training pipeline from the scratch to address researchers’ inquiries, enabling efficient exploration.
Experimented with a number of classification and regression metrics to accurately find the best performing pipline.