محمد درويش

Led the operation and deployment ofAI-driven systems used in daily
company workflows.
Managed operational execution of autonomous and semi-autonomous
drone systems for testing and field operations.
Supervised AI model operation, monitoring performance, reliability, and
system stability.
Coordinated drone hardware, software integration, and system testing
processes.
Worked closely with AI engineers and technicians to optimize system
efficiency and operational readiness.
Supported the development, testing, and refinement of intelligent drone
solutions and automation pipelines.

Developed AI-powered automation tools to optimize company operations.
Implemented data-driven insights to support business decision-making.
Designed and developed a responsive website to improve customer
engagement and digital presence.

Face ID Recognition System: Developed and deployed a facial recognition system using
computer vision and deep learning, achieving high accuracy in identity verification.
Technologies Used: Python, TensorFlow, OpenCV
Weather Prediction System: Designed and implemented an AI model for weather prediction
using historical data and machine learning algorithms, improving forecast accuracy.
Technologies Used: Python, TensorFlow, Pandas, NumPy
Cryptocurrency Price Prediction: Built a deep learning model to predict cryptocurrency
prices based on market trends and historical data, providing valuable insights for investment
strategies.
Technologies Used: Python, Keras, Scikit-learn, Financial Data APIs
Virtual Tour Developer: Created an interactive virtual tour for a
university campus using web development techniques, enhancing user
engagement.
Technologies Used: HTML, CSS, JavaScript

Designed and deployed a high-accuracy Face Recognition System using Deep Learning
and OpenCV, used for automated student attendance tracking.
Developed an AI-powered Smart Education System capable of delivering AI-based courses,
automatically managing student attendance, and handling academic activities without the
need for a course instructor.
Built an AI-based Weather Prediction System using machine learning models and historical
data analysis.
Developed a Cryptocurrency Price Prediction model leveraging LSTM neural networks for
time-series forecasting.
Created an interactive Virtual Campus Tour using modern web technologies to enhance
digital user experience.

Completed approximately 1, 000 volunteer hours in contributing to national-level and
community initiatives.
Served as a for Artificial Intelligence competitions in collaboration with the Ministry of
Education, evaluating technical projects and innovation quality.
Participated in organizational and operational volunteering activities supporting government
events and official programs.
Contributed to the coordination, planning, and execution of large-scale events and public
initiatives across various sectors.