OSAMA ALSHAMMARI
Artificial Intelligence Student
Hail,06
Summary
Dynamic and forward-thinking Artificial Intelligence (AI) student with a strong focus on Deep Reinforcement Learning and agentic systems, complemented by diverse interests across AI disciplines. Driven by insatiable curiosity and a passion for creativity, dedicated to transforming innovative AI concepts into impactful real-world applications. Proficient in Python and well-versed in leading AI frameworks such as PyTorch and TensorFlow, leveraging technical skills to explore the intersection of intelligent systems with immersive experiences. Eager to contribute to environments that foster the convergence of cutting-edge technology, creativity, and problem-solving.
Overview
3
3
Certifications
2
2
Languages
Work History
Deep Learning Projects
AI – Deep Learning
- Developed and trained multiple deep learning models across diverse domains, including healthcare, mental health, and space data.
- Applied convolutional neural networks (CNNs) and other relevant architectures to solve real-world problems.
- Achieved high performance on various benchmark datasets, demonstrating strong model design, feature engineering, and evaluation skills.
- Implemented end-to-end modeling pipelines from data preprocessing to training and evaluation.
Kaggle Contributor
AI – ML / Data Science
- Developed and published high-quality machine learning and deep learning code notebooks on Kaggle.
- Applied advanced feature engineering, feature selection, and data preprocessing techniques to improve model performance.
- Experimented with a variety of algorithms, including ensemble methods, neural networks, across diverse datasets.
- Optimized model architectures and hyperparameters to achieve high accuracy and efficiency.
- Documented workflows and insights to share best practices with the Kaggle community.
LLM Model for TTS & STT
AI – NLP / Speech
- Utilized Gemini 2.0 Flash model for text-to-speech (TTS) and speech-to-text (STT) tasks.
- Converted speech to text using Speech Recognition with Faster Whisper transcription and CTranslate2.
- Processed text generated by the model and converted it back to speech using gTTS for text-to-speech functionality.
Advanced Feature Engineering & Selection
AI – ML / Feature Engineering
- Extracted and ranked key features from large, non-linear datasets using Random Forest and other selection techniques.
- Applied feature engineering to enhance model performance and interpretability.
- Reduced dataset dimensionality, improving computational efficiency and predictive accuracy.
- Analyzed patterns and relationships between features to inform model optimization and decision-making.
Designed and built a real-time 3D Arabic voice assistant
AI – 3D / Voice
- Designed and built a fully custom real-time 3D Arabic voice assistant from scratch.
- Integrated advanced AI dialogue with real-time 3D animation for interactive user experiences.
- Leveraged Python, Metahuman, and ElevenLabs to deliver high-performance, real-time responses.
- Implemented natural language understanding and speech-to-text features for accurate interaction.
Education
Bachelor of Artificial Intelligence - Artificial Intelligence
University of Hail
Saudi Arabia01.2027
Skills
- Experience with deep learning models
- Data visualization with Matplotlib
- Natural language processing
- Skilled in numerical computing with NumPy
- Data manipulation with Pandas
- PyGame
- Proficient in machine learning
Interests
Theoretical AI & Mathematical Foundations of Machine Learning
Robotics and Intelligent Systems
Entertainment AI (turning imagination into interactive reality)
3D Modeling and Simulation for AI-driven Projects
AI Applications in Cybersecurity
Accomplishments
- Deep Learning Success: Built high-performing deep learning models across diverse domains including healthcare, mental health, and space data.
- Feature Optimization & Engineering: Maximized model performance through sophisticated feature selection, feature engineering, and data balancing techniques across diverse datasets.
- Real-Time Saudi Voice Assistant (Abo Matr): Developed a 3D Arabic voice assistant using Python, Metahuman, and ElevenLabs for real-time interactive experiences.
- Speech-to-Text Excellence: Achieved 98% transcription accuracy using Faster Whisper, demonstrating expertise in state-of-the-art speech recognition.
Certification
Generative AI for Everyone - DeepLearning.AI
Timeline
Generative AI for Everyone - DeepLearning.AI
06-2025
Machine Learning
05-2025
MCIT Jr Data Scientist - INE
12-2024
Kaggle Contributor
AI – ML / Data Science
LLM Model for TTS & STT
AI – NLP / Speech
Advanced Feature Engineering & Selection
AI – ML / Feature Engineering
Designed and built a real-time 3D Arabic voice assistant
AI – 3D / Voice
Deep Learning Projects
AI – Deep Learning
Bachelor of Artificial Intelligence - Artificial Intelligence
University of Hail
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