Summary
Overview
Work History
Education
Skills
Timeline
Generic
Rashed Mamdouh

Rashed Mamdouh

Machine Learning And AI Engineer

Summary

  • Machine Learning and Deep Learning Engineer .
  • Hardworking and passionate job seeker with strong organizational skills eager to secure entry-level [Artificial Intelligence and Machine Learning] position. Ready to help team achieve company goals.




Overview

1
1
year of professional experience
3
3
Languages

Work History

University teaching assistant

Faculty of Computers and Data Science Alexandria University
10.2024 - Current
  • Course Assistance: Provided academic support and guidance in courses such as ["Data Structures," "Machine Learning," "Artificial Intelligence," etc.]
  • Tutorials and Labs: Conducted tutorials, lab sessions, and workshops to reinforce theoretical concepts and hands-on programming skills in [Relevant Languages/Frameworks - e.g., Python, Node.js, etc.]
  • Assessment and Grading: Assisted in the preparation of exams, quizzes, and assignments, ensuring timely feedback and accurate evaluation
  • Mentoring and Support: Provided academic guidance to students, helping them in projects, clarifying concepts, and preparing for exams
  • Research Support: Collaborated with faculty on research projects in areas such as [Research Areas - e.g., machine learning, deep learning, or AI applications]
  • Technical Expertise: Specialized in technologies including [List Technologies - e.g., Python, TensorFlow, Node.js, etc.], contributing to innovative web and AI-driven applications
  • Language Skills: Leveraged bilingual abilities (Arabic, English, Chinese) to assist a diverse group of students and collaborate on research projects

Machine Learning and Deep Learning Trainee

Digital Hub-My Communication
01.2024 - 05.2024
  • AI Fundamentals and Tools Mastery: Mastered AI concepts including Machine Learning (ML), Deep Learning (DL), and Reinforcement Learning (RL)
  • Learned to differentiate and apply various AI tools such as TensorFlow, Keras, PyTorch, and Scikit-learn
  • Python Programming & Data Science: Refreshed foundational Python programming skills, with a focus on data modeling and data science methods
  • Applied Python for ML, DL, and RL, working on real-world use cases to develop AI solutions
  • Computer Vision Applications: Developed Convolutional Neural Networks (CNNs) from scratch to process images and videos
  • Conducted projects involving OpenCV to create real-time object detection models
  • Natural Language Processing (NLP) & Speech Recognition: Engaged in text clustering, classification, document embedding, and sentiment analysis projects
  • Developed and deployed models for converting speech to text and text to speech, with both offline and online capabilities
  • Chatbot Development: Applied design thinking to create chatbots from scratch
  • Published chatbots using APIs and conducted projects on platforms like OpenWeaver
  • Reinforcement Learning (RL): Explored fundamental and advanced concepts in RL, including sample-based learning methods
  • Developed models for prediction and control in various reinforcement learning scenarios

Robotics Trainee

Faculty of Computers and Data Science Alexandria University
10.2023 - 10.2023
  • Robotics Fundamentals: Acquired comprehensive knowledge of robotics, including the mechanical and electrical components essential for building and controlling robots
  • Mechanical and Electrical Design: Designed and constructed an RC robot with a focus on mechanical and electrical integration
  • Utilized tools like SolidWorks for mechanical design and DipTrace for PCB design
  • Programming and Control: Implemented embedded C programming to run the robot, including motor control and sensor integration
  • PCB and SolidWorks Design: Gained proficiency in designing PCBs and mechanical components using SolidWorks, ensuring functional integration with electrical systems
  • Design Applications Training: Trained in the use of design applications such as Proteus and DipTrace for PCB and circuit design
  • Teamwork and Problem Solving: Collaborated effectively in teams, addressing challenges and solving problems collectively

Education

Bachelor of Science - Intelligent Systems

Faculty of Computers And Data Science Alexandria University
Alexandria, Egypt
05.2020 - 2024.06

Skills

Python

Timeline

University teaching assistant

Faculty of Computers and Data Science Alexandria University
10.2024 - Current

Machine Learning and Deep Learning Trainee

Digital Hub-My Communication
01.2024 - 05.2024

Robotics Trainee

Faculty of Computers and Data Science Alexandria University
10.2023 - 10.2023

Bachelor of Science - Intelligent Systems

Faculty of Computers And Data Science Alexandria University
05.2020 - 2024.06
Rashed MamdouhMachine Learning And AI Engineer