Mohamed-89799

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Summary/Objective

• Summary: Mohamed Ibrahem is an aspiring Full Stack Developer and Computer Science student with substantial experience in web development using React.js and Node.js. He has a deep understanding of Python, deep learning, and computer vision, with hands-on experience in using the YOLO model for object detection. He is eager to learn new technologies and apply them creatively in projects.

Work Experience

• Projects:
  • Eduford Project: Utilized HTML, CSS, Bootstrap, JavaScript, and Wow.js.
  • Presento Project: Similar tech stack with HTML, CSS, Bootstrap, JavaScript, and Wow.js.
  • Book Store: HTML, CSS, Bootstrap, JavaScript, Wow.js, and email.js.
  • PC-Store: Built using React.js.
  • E-Commerce: Involves MongoDB, Express.js, MySQL, and Multer.

Educational Background

• Bachelor of Computer Science (Expected May 2024):
  • HTI University
• Route Full Stack Diploma:
  • Summer internship in front-end development at ITI.

Skills

• Front-End Development: HTML, CSS, Bootstrap, JavaScript, React.js, Wow.js.
• Back-End Development: Node.js, Express.js, MongoDB, MySQL, Multer.
• Programming Languages: Python.
• Machine Learning & AI: Deep Learning, YOLO.
• Tools & Technologies: Git, Google Maps API.
• Soft Skills: Problem-solving, team collaboration, effective communication.

Achievements/Awards

• None listed.

Publications/Presentations

• None listed.

Professional Memberships/Affiliations

• None listed.

Career Progression

• Mohamed's career progression shows a clear focus on full stack development, with a strong academic background and practical project experience.

Consistency and Accuracy

• The CV is consistent with a clear focus on full stack web development and machine learning. The information provided is accurate and relevant to the field.

Strengths

• Solid foundation in both front-end and back-end web development.
• Practical experience with a variety of projects demonstrating the use of different technologies.
• Strong knowledge in machine learning and AI, particularly in using the YOLO model for object detection.
• Good problem-solving skills and the ability to work well in teams.
• Enthusiastic and eager to learn new technologies.

Areas for Improvement

• Professional Experience: Gaining more formal work experience or internships in recognized companies could complement the project-based experience.
• Achievements/Awards: Including any relevant achievements or awards would strengthen the CV.
• Professional Memberships/Affiliations: Joining relevant professional organizations could enhance networking and career opportunities.
• Publications/Presentations: Listing any publications or presentations could add credibility and showcase expertise.
• Detailed Descriptions: Providing more detailed descriptions of projects and the specific contributions or challenges faced would give a clearer picture of skills and experiences.

Soft Skills

• Demonstrates problem-solving abilities and effective communication skills.
• Strong team collaboration skills, as evidenced by project work.

Professional Summary

Mohamed Ibrahem is an aspiring Full Stack Developer with a strong foundation in both front-end and back-end web development technologies. Currently pursuing a Bachelor of Computer Science at HTI University, Mohamed has demonstrated his skills through various projects using HTML, CSS, JavaScript, React.js, Node.js, and other technologies. He also has a keen interest in machine learning and AI, with practical experience in deep learning and computer vision using the YOLO model. Known for his problem-solving abilities and effective communication, Mohamed is eager to continue learning and applying new technologies in innovative ways. His commitment to team collaboration and continuous improvement makes him a valuable asset to any development team.