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Fares Ahmed, Trainee – InnovEgypt Training Program

Fares Ahmed

Trainee – InnovEgypt Training Program·Information Technology Industry Development Agency (ITIDA)

Egypt

Bachelor's degree, Mathematics and Computer Science

Work experience

Total years of experience: 0 years, 4 months

Trainee – InnovEgypt Training Program

January 2026 - February 2026

Information Technology Industry Development Agency (ITIDA)

Cairo, Egypt Hybrid

January 2026 - February 2026

• Participated in the InnovEgypt Entrepreneurship Training Program, focusing on innovation and startup creation.
• Developed a startup project addressing challenges in purchasing genuine and compatible car spare parts.
• Designed and presented a prototype solution ensuring trust, transparency, and efficiency for users.
• Collaborated with team members to create a business model and validate user needs.
• Gained hands-on experience in team problem-solving, entrepreneurial thinking, and project presentation.

Company industry:
IT Services

AI & Machine Learning Trainee

November 2025 - December 2025

Huawei ICT Academy-Egypt

Cairo, Egypt Remote

November 2025 - December 2025

• Studied core concepts of Machine Learning and Deep Learning, including supervised and unsupervised learning
techniques.
• Developed a strong understanding of neural networks, model architectures, and AI workflows.
• Explored AI development frameworks such as TensorFlow and MindSpore at a conceptual and practical level.
• Analyzed real-world AI use cases and applications across different industries.

Company industry:
IT Services

Generative AI

November 2025 - December 2025

Information Technology Institute (ITI)

Cairo, Egypt Remote

November 2025 - December 2025

• Built a strong foundation in Python programming, including core syntax, data structures, and problem-solving
for AI applications.
• Studied AI fundamentals, progressing from basic concepts to practical Generative AI (GenAI) use cases.
• Gained a solid understanding of Generative AI architectures, capabilities, and real-world applications.
• Developed hands-on experience building Large Language Model (LLM) applications using Prompt
Engineering techniques.
• Enhanced LLM performance using Retrieval-Augmented Generation (RAG) by integrating external knowledge
sources.
• Strengthened skills in AI system design, critical thinking, and practical deployment of GenAI solutions. InnovEgypt Training

Company industry:
Training & Education Center

Education

Helwan University, Faculty of Science

May 2028

May 2028

Bachelor's degree, Mathematics and Computer Science

Egypt

GPA (point): 3.28 out of 4

GPA (point): 3.28 out of 4

Skills

GENERATIVE ARTIFICIAL INTELLIGENCE
Intermediate
GENERATIVE ARTIFICIAL INTELLIGENCE
Intermediate
GITHUB
Intermediate
GITHUB
Intermediate
INSTRUCTING
Intermediate
INSTRUCTING
Intermediate
LARGE LANGUAGE MODELING
Intermediate
LARGE LANGUAGE MODELING
Intermediate
LINKEDIN
Intermediate
LINKEDIN
Intermediate
PYTHON PROGRAMMING LANGUAGE
Intermediate
PYTHON PROGRAMMING LANGUAGE
Intermediate
Generative AI
Beginner
Generative AI
Beginner
ALGORITHMS
Beginner
ALGORITHMS
Beginner
Retrieval-Augmented Generation (RAG)
Beginner
Retrieval-Augmented Generation (RAG)
Beginner
ANALYTICAL SKILLS
Intermediate
ANALYTICAL SKILLS
Intermediate
ARTIFICIAL INTELLIGENCE
Intermediate
ARTIFICIAL INTELLIGENCE
Intermediate
COMPUTER SCIENCE
Intermediate
COMPUTER SCIENCE
Intermediate
CREATIVE PROBLEM SOLVING
Intermediate
CREATIVE PROBLEM SOLVING
Intermediate
DEEP LEARNING
Beginner
DEEP LEARNING
Beginner
MACHINE LEARNING
Beginner
MACHINE LEARNING
Beginner
MATHEMATICS
Intermediate
MATHEMATICS
Intermediate

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