Ahmed Mohamed Younis

Ahmed Mohamed Younis

$12/hr
I specialize in building intelligent applications that combine ML and full-stack development
Reply rate:
-
Availability:
Full-time (40 hrs/wk)
Age:
23 years old
Location:
Alexandria, Alexandria, Egypt
Experience:
1 year
Ahmed Mohamed Younis Alexandria, Egypt 1 Education Alexandria University, Faculty of Engineering Bachelor of Computer and Communication Engineering (AI minor) CGPA: 3.07 Oct 2020 – Jun 2025 Victory College (IGCSE Certificate) 2 2020 Skills Languages: C/C++, Java, Python, JavaScript, Flutter, HTML+CSS, SQL Libraries/Frameworks: STL, PyTorch, TensorFlow, Hugging Face, Flask Tools: Git, Jupyter, Firebase, Android Studio Relevant Courses: Deep Learning, Machine Learning, NLP, Data Structures, OOP, OS, DBMS, CV, Speech Recognition, RL, Classical AI Soft Skills: Problem Solving, Self-learning, Presentation, Time Management, Adaptability, AI Tools (GPT, Gemini, Deepseek) 3 Graduation Project Multistage Speech Intelligence System Sep 2024 – Jun 2025 • Developed a detection model using an ensemble of Wav2Vec and CNN architectures, trained on the ASVSPOOF dataset to detect deepfake audio. • Built an XTTS-based Arabic Text-to-Speech system, fine-tuned on Egyptian dialectal data. • Implemented Speech-to-Speech Voice Conversion using Seed VC. • The three models (Detection, TTS and VC) were deployed on both mobile and web platforms, providing a complete end-to-end speech AI system. 4 Other Projects • Arabic Speech to Text: Using Wav2Vec fine-tuned on Egyptian dialect data. • Masked Language Modeling: Used untrained BERT on English Wikipedia dataset with Hugging Face. • Image Captioning: Extracted features using ResNet50, generated captions via LSTM. • Sudoku Solver: Implemented a CSP algorithm to solve any Sudoku board. • Machine Learning Course Projects: – CIFAR-10 image classification using PyTorch. – FIFA players position classification using softmax neural network. – Unsupervised clustering on breast cancer dataset. – Predicting smoking cessation outcomes using biosignals. • UniScore: Live football scores app using football.org API; published on Amazon App Store. 1 5 Internships AAST Summer 2024 Trained on Flutter development for cross-platform mobile apps. Ejada Summer 2023 Worked on backend systems using Spring Boot and SQL databases. 6 Competitions • ECPC 2023: Regional competitive programming contest participant. • MIT AIC 2024: Participated in Automatic Speech Recognition challenge for Egyptian dialect. • Gemini API Challenge 2024: Developed AI-powered app and qualified for voting phase. • NASA Space Apps 2024: Achieved Global Nominee recognition. 2
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