Mohamed Hamdy

Final-year Computer Engineering Undergraduate | Aspiring AI Engineer

Immense passion for AI, connecting theoretical foundations to real-world applications. Always excited by new technologies and innovative solutions.

(+20) 102202XXXX Cairo, Egypt

About Me

I am a final-year Computer Engineering undergraduate at the Arab Academy for Science and Technology with an immense passion for Artificial Intelligence. I thrive on bridging the gap between theoretical concepts and practical, real-world applications. Discovering new technologies and innovative solutions constantly fuels my curiosity and leads to many "aha" moments. I'm eager to leverage my growing skills and enthusiasm in a challenging AI-focused role.

Technical Skills

Languages

  • Python
  • C++
  • C
  • C#
  • Java
  • Assembly x86
  • VHDL
  • Verilog
  • SQL

AI / Machine Learning

  • PyTorch
  • TensorFlow
  • LangChain
  • Neural Networks
  • Image Processing
  • Pattern Recognition
  • Vector Databases
  • ONNX / TFLite

Tools & Platforms

  • Git / GitHub
  • Linux
  • FastAPI
  • Docker (Basic)
  • Tableau
  • Power BI
  • Microcontrollers

Concepts

  • Data Structures
  • Algorithms
  • Object-Oriented Programming
  • Machine Learning Pipelines
  • Data Augmentation
  • Model Optimization

Projects Showcase

Highlighted Projects

AI Model Development for En2ly (Startup)

Integrated a multi-head AI model (classifying furniture type & estimating dimensions) into a startup's backend. Trained on Bonn Furniture Styles Dataset, optimized locally, and converted to ONNX/TFLite for real-time use.

Fawry Competition (On-going) - Phase 1 Qualified

Face Identification: Developed a deep learning face re-id system. Fine-tuned InceptionResNetV1 (VGGFace2) with ArcMarginProduct, achieving 90% validation accuracy using custom PyTorch datasets and cosine similarity.

Multi-Object Tracking: Built a pedestrian tracking system using YOLOv8 (detection) and ByteTrack (tracking) on the MOT20 dataset, achieving 65% HOTA. Included custom training and hyperparameter tuning.

English-Arabic Neural Machine Translation

Built LSTM-based seq2seq models (with/without attention) in TensorFlow/Keras. Developed data preprocessing pipelines for tokenization and encoding.

Other Public Repositories

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Education & Credentials

Education

Arab Academy for Science and Technology - Faculty of Engineering

Bachelor in Computer Engineering (Expected Jun 2025)

GPA: 3.6 / 4.0

Related Coursework: Introduction To Artificial Intelligence, Neural Networks, Image Processing and Pattern Recognition

Courses & Certificates