Mayar Abdelgawad

- Analyze internal teams’ AI needs and identify relevant use cases to optimize their daily workflows. - Experiment with GPT-based agents for specialized tasks (e.g., detecting unusual news stories, automating film-related information retrieval, etc.). - Train employees on prompt engineering and how to use in-house AI tools (Genius Bar sessions, hands-on support, etc.). - Contribute to testing RAG (Retrieval-Augmented Generation) features of the company’s internal AI tool. - Attend major AI conferences (Open Source AI Summit, Paris AI Summit, AWS AI Summit, Vivatech, etc.) and write detailed reports. - Write and distribute the monthly newsletter for the Innovation & Data team. - Lead a major project: design and develop an automated matching algorithm between two datasets (leveraging an open-source AI tool dataset and comparing it to a local list), deploy it locally on AWS with weekly email alerts. Currently putting the solution into production using GitLab CI/CD and Terraform.

- Analyze nurse call systems and technological innovations in healthcare facilities - Identify key players and competition - Evaluate available e-health solutions.

- Test IMU signal preprocessing methods - Utilize Continual Learning for transport mode classification - Analyze data and validate Deep Learning models.

Tutor in analog and digital electronics for undergraduate students at the university.

- Development of a GUI application for controlling electrohydraulic actuators - Utilization of ROS and Qt Creator in C++ on Linux (Ubuntu 16) - Improvement of functionalities and user interface

Study of the installation and operation of alarm systems (CCTV, security system, fire alarms).