Yasmeen E.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

Explainable AI (XAI) and Recommender Systems tutoring/mentorship

Autonomous vehicle perception

sensor fusion data preparation

Top Data Types

Text

3D Sensor

Top Task Types

Data Collection

Freelancer Overview

Teaching Assistant (on-site), co-supervisor for undergraduate thesis projects in Explainable AI and Recommender Systems. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Master’s Degree, German University in Cairo (2024) and Bachelor’s Degree, German University in Cairo (2020). AI-training focus includes data types such as Text and 3D Sensor and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Teaching Assistant (on-site), co-supervisor for undergraduate thesis projects in Explainable AI and Recommender Systems

Don't discloseText

Served as a Teaching Assistant delivering tutorials and lab sessions for core computer science and engineering courses. Co-supervised undergraduate graduation thesis projects with research and implementation support in Explainable AI and Recommender Systems. Mentored students through applying AI concepts to coursework projects and evaluating their outcomes.•Facilitated student learning through hands-on lab sessions and guided problem-solving in AI-adjacent topics.•Provided feedback on project implementations related to Explainable AI methods and evaluation.•Supported thesis teams during research and development cycles for recommender systems.•Assisted with course delivery across onsite and Berlin campus semesters.

2020 - Present

Research Intern, Intelligent Systems Lab (autonomous vehicle perception & sensor fusion)

Other3D SensorData Collection

Conducted research in autonomous vehicle perception and sensor fusion, involving collection and alignment of multi-sensor data. Synchronized and calibrated three cameras with three LiDAR units and GPS using hardware, software, and networking protocols. Supported downstream perception modeling by preparing consistent sensor inputs for experimentation.•Coordinated multi-modal sensor synchronization and calibration procedures.•Prepared aligned camera-LiDAR-GPS data for perception experiments.•Worked with hardware and networking setups to ensure accurate data capture.•Contributed to research workflows requiring structured sensor data collection and validation.

2019 - 2019

Education

Work History